From fd1c9620cf0c865e0ced4f3c706426426457354a Mon Sep 17 00:00:00 2001
From: GitHub actions <actions@github.com>
Date: Wed, 23 Oct 2024 08:05:49 +0000
Subject: [PATCH] Update documentation

---
 .../auto_examples_python.zip                  | Bin 43851 -> 43851 bytes
 .../plot_dcrt_example.zip                     | Bin 6608 -> 6608 bytes
 .../plot_knockoff_aggregation.zip             | Bin 10070 -> 10070 bytes
 .../plot_fmri_data_example.zip                | Bin 29921 -> 29921 bytes
 .../auto_examples_jupyter.zip                 | Bin 54855 -> 54855 bytes
 ...t_diabetes_variable_importance_example.zip | Bin 21615 -> 21615 bytes
 .../plot_2D_simulation_example.zip            | Bin 30558 -> 30558 bytes
 .../plot_2D_simulation_example.rst.txt        |   4 ++--
 .../auto_examples/plot_dcrt_example.rst.txt   |   4 ++--
 ...abetes_variable_importance_example.rst.txt |   4 ++--
 .../plot_fmri_data_example.rst.txt            |  10 ++++----
 .../plot_knockoff_aggregation.rst.txt         |   4 ++--
 .../auto_examples/sg_execution_times.rst.txt  |  22 +++++++++---------
 docs/_sources/sg_execution_times.rst.txt      |  22 +++++++++---------
 .../plot_2D_simulation_example.html           |   4 ++--
 docs/auto_examples/plot_dcrt_example.html     |   4 ++--
 ..._diabetes_variable_importance_example.html |   4 ++--
 .../auto_examples/plot_fmri_data_example.html |  18 +++++++++-----
 .../plot_knockoff_aggregation.html            |   4 ++--
 docs/auto_examples/sg_execution_times.html    |  22 +++++++++---------
 docs/searchindex.js                           |   2 +-
 docs/sg_execution_times.html                  |  22 +++++++++---------
 22 files changed, 78 insertions(+), 72 deletions(-)

diff --git a/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
index 12c088591dd5d2b581e3e5a0d90d044608ef02fa..8f040e4b36364dda300cbe9ecb9836725937c7c6 100644
GIT binary patch
delta 100
zcmX?ojp_6?Cf)#VW)=|!5cq2szL7VQi@DMvd~+t3tTD5!efZ{1+ZI9Q5}=5HKesA#
sAdn$fvf7jxsCM$1mG&UDllfM;fRs)SUF8l^IeGr7aFD{uKUW0-00u@OD*ylh

delta 100
zcmX?ojp_6?Cf)#VW)=|!5ZKxfu#q>Ci+NRJz~)RYS!3pF4FQ`wZCeDHmjOit{JB+`
sTYwC?lGUcnK(&+4th5KIoy@n&1*CLx=qh)R%E|Lrg@Y7M{<$g$0JNwje*gdg

diff --git a/docs/_downloads/117422582fb46cc8ed6549598a2d87de/plot_dcrt_example.zip b/docs/_downloads/117422582fb46cc8ed6549598a2d87de/plot_dcrt_example.zip
index b93c7412ed20a4b2aa2776afd735aa60f7521600..7932834695a88117f976b80d38fb35ec5632f50d 100644
GIT binary patch
delta 47
xcmca$e8HGEz?+#xgaHKp+J$fAjpSmMwGZE%$#sp787MH>Nzxu9Fu6t22LLf*4KV-!

delta 47
xcmca$e8HGEz?+#xgaHJ$HUw<sjpSm!))25clj|BEGf-f%lcYUJU~-G34**M^4*dWC

diff --git a/docs/_downloads/1a99dc8cb1c22f91072d67cf26fce26c/plot_knockoff_aggregation.zip b/docs/_downloads/1a99dc8cb1c22f91072d67cf26fce26c/plot_knockoff_aggregation.zip
index b84cdf522b19840d1ce87bf123d2f38dfdc69e4c..b1155fa3e5514c37078c7c7ce055555fccb87422 100644
GIT binary patch
delta 47
xcmccScg>GCz?+#xgaHI(?ZY?nwg@r@I)rbYBB&_J3>28WL(Lr|Fqug`1OOY=3-ka0

delta 47
xcmccScg>GCz?+#xgaHJuH3V$rZ4qQ{X$;srMNm<c87MG$hnhP`U^0_>2mn;s4zvIO

diff --git a/docs/_downloads/5ca231767268e6cd969e65225d673650/plot_fmri_data_example.zip b/docs/_downloads/5ca231767268e6cd969e65225d673650/plot_fmri_data_example.zip
index b83a3fc9d89515cefc41b2295a5a4ab810d057fe..1ed3660fc73b42361814fc289c0f2c71870e4fe8 100644
GIT binary patch
delta 49
zcmaF(lJVh7M&1B#W)=|!5U6wr-^eR#%)G`Se6y~xq$4v>V6tb43rJw{gpxo2ZSoHQ

delta 49
zcmaF(lJVh7M&1B#W)=|!5Lne1u#s2RnE7gBz-C=zNk?X&z+}%77m&c@2_=C5jK~n2

diff --git a/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
index 7d793d022aeed698c7c8a628061048bff8def4ec..2daa838464b74d5d656f617296779473962d5b79 100644
GIT binary patch
delta 100
zcmX@UhWYp!X5IjAW)=|!5RkPG-^hD~k9mzl_~s{k;*QLLK*m3Rc~Ry{AVVQ_q8@Vz
rkg;VllOr=w?c|+ToIq+P|GVN2Qaah=suxJ*<f&JqKnf>+x*7@qPOBr(

delta 100
zcmX@UhWYp!X5IjAW)=|!5V+P5u#xu)AM@45fXz?%#2uMifQ*0s@}kVEfDDDyiF(Y-
rfQ&7ZnH-scYA5f!;sjDV`QH_HkkZK>SG_<gCr`Z^1yVTq)74M_M7b#h

diff --git a/docs/_downloads/707d94040f5ada342e781499193f46f1/plot_diabetes_variable_importance_example.zip b/docs/_downloads/707d94040f5ada342e781499193f46f1/plot_diabetes_variable_importance_example.zip
index 7db2ef53c8994bfb764fc1081c24750866553428..f62203aa0ae34f9ba99e6f71ecdef7423f116bae 100644
GIT binary patch
delta 49
zcmaFAg7N(dM&1B#W)=|!5GZj7-^k0Y%3SFXzFAszvK})~VDiS`aFD=c?vNA!SQ!o(

delta 49
zcmaFAg7N(dM&1B#W)=|!5Lnh2u#uNrm3dWTz-DRH$$HE{fyo<#!$AU*xkFL_coq-G

diff --git a/docs/_downloads/e08c0f6d4aade0f0eaf8ba56dbbfd9c9/plot_2D_simulation_example.zip b/docs/_downloads/e08c0f6d4aade0f0eaf8ba56dbbfd9c9/plot_2D_simulation_example.zip
index 4f2ad75065e52e5355e9139cb5db5ae2124d99f0..85d0537c27b6e4b1be122a2611f3a7cd2f80979c 100644
GIT binary patch
delta 49
zcmccjj`7|*M&1B#W)=|!5D0V#-^jbtl)1zqeDh9ICP!wVz~p^p9w33qoaLbae5wyb

delta 49
zcmccjj`7|*M&1B#W)=|!5NK%(*vPxmlzCZWz~-H%OpeSzfyw*IJU{}IIm<%<ob?d)

diff --git a/docs/_sources/auto_examples/plot_2D_simulation_example.rst.txt b/docs/_sources/auto_examples/plot_2D_simulation_example.rst.txt
index de9e7b6..313d289 100644
--- a/docs/_sources/auto_examples/plot_2D_simulation_example.rst.txt
+++ b/docs/_sources/auto_examples/plot_2D_simulation_example.rst.txt
@@ -554,9 +554,9 @@ randomization.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (1 minutes 3.161 seconds)
+   **Total running time of the script:** (1 minutes 7.006 seconds)
 
-**Estimated memory usage:**  691 MB
+**Estimated memory usage:**  708 MB
 
 
 .. _sphx_glr_download_auto_examples_plot_2D_simulation_example.py:
diff --git a/docs/_sources/auto_examples/plot_dcrt_example.rst.txt b/docs/_sources/auto_examples/plot_dcrt_example.rst.txt
index e0d438c..447abc5 100644
--- a/docs/_sources/auto_examples/plot_dcrt_example.rst.txt
+++ b/docs/_sources/auto_examples/plot_dcrt_example.rst.txt
@@ -162,9 +162,9 @@ Plotting the comparison
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (1 minutes 1.529 seconds)
+   **Total running time of the script:** (1 minutes 1.639 seconds)
 
-**Estimated memory usage:**  623 MB
+**Estimated memory usage:**  640 MB
 
 
 .. _sphx_glr_download_auto_examples_plot_dcrt_example.py:
diff --git a/docs/_sources/auto_examples/plot_diabetes_variable_importance_example.rst.txt b/docs/_sources/auto_examples/plot_diabetes_variable_importance_example.rst.txt
index 1eb31a0..cd90556 100644
--- a/docs/_sources/auto_examples/plot_diabetes_variable_importance_example.rst.txt
+++ b/docs/_sources/auto_examples/plot_diabetes_variable_importance_example.rst.txt
@@ -500,9 +500,9 @@ Analyze the results
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.601 seconds)
+   **Total running time of the script:** (0 minutes 8.555 seconds)
 
-**Estimated memory usage:**  609 MB
+**Estimated memory usage:**  626 MB
 
 
 .. _sphx_glr_download_auto_examples_plot_diabetes_variable_importance_example.py:
diff --git a/docs/_sources/auto_examples/plot_fmri_data_example.rst.txt b/docs/_sources/auto_examples/plot_fmri_data_example.rst.txt
index 1b1ad94..ebb4ab9 100644
--- a/docs/_sources/auto_examples/plot_fmri_data_example.rst.txt
+++ b/docs/_sources/auto_examples/plot_fmri_data_example.rst.txt
@@ -184,7 +184,7 @@ You may choose a subject in [1, 2, 3, 4, 5, 6]. By default subject=2.
     Downloading data from http://data.pymvpa.org/datasets/haxby2001/MD5SUMS ...
      ...done. (0 seconds, 0 min)
     Downloading data from http://data.pymvpa.org/datasets/haxby2001/subj2-2010.01.14.tar.gz ...
-
    Downloaded 115441664 of 291168628 bytes (39.6%,    1.5s remaining)
    Downloaded 262291456 of 291168628 bytes (90.1%,    0.2s remaining) ...done. (2 seconds, 0 min)
+
    Downloaded 16596992 of 291168628 bytes (5.7%,   16.8s remaining)
    Downloaded 55353344 of 291168628 bytes (19.0%,    8.6s remaining)
    Downloaded 94068736 of 291168628 bytes (32.3%,    6.4s remaining)
    Downloaded 133029888 of 291168628 bytes (45.7%,    4.8s remaining)
    Downloaded 172138496 of 291168628 bytes (59.1%,    3.5s remaining)
    Downloaded 211009536 of 291168628 bytes (72.5%,    2.3s remaining)
    Downloaded 249634816 of 291168628 bytes (85.7%,    1.2s remaining)
    Downloaded 288653312 of 291168628 bytes (99.1%,    0.1s remaining) ...done. (8 seconds, 0 min)
     Extracting data from /home/runner/nilearn_data/haxby2001/def37a305edfda829916fa14c9ea08f8/subj2-2010.01.14.tar.gz..... done.
     /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/nilearn/image/resampling.py:492: UserWarning: The provided image has no sform in its header. Please check the provided file. Results may not be as expected.
       warnings.warn(
@@ -284,7 +284,7 @@ Now, we compute p-values thanks to permutation tests applied to
  .. code-block:: none
 
     [Parallel(n_jobs=1)]: Done  49 tasks      | elapsed:    1.6s
-    [Parallel(n_jobs=1)]: Done 199 tasks      | elapsed:    6.3s
+    [Parallel(n_jobs=1)]: Done 199 tasks      | elapsed:    6.6s
 
 
 
@@ -365,7 +365,7 @@ However you might benefit from clustering randomization taking
  .. code-block:: none
 
     [Parallel(n_jobs=2)]: Using backend LokyBackend with 2 concurrent workers.
-    [Parallel(n_jobs=2)]: Done   5 out of   5 | elapsed:   32.3s finished
+    [Parallel(n_jobs=2)]: Done   5 out of   5 | elapsed:   35.2s finished
 
 
 
@@ -610,9 +610,9 @@ spurious discoveries.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (1 minutes 22.789 seconds)
+   **Total running time of the script:** (1 minutes 34.855 seconds)
 
-**Estimated memory usage:**  3157 MB
+**Estimated memory usage:**  3267 MB
 
 
 .. _sphx_glr_download_auto_examples_plot_fmri_data_example.py:
diff --git a/docs/_sources/auto_examples/plot_knockoff_aggregation.rst.txt b/docs/_sources/auto_examples/plot_knockoff_aggregation.rst.txt
index 544054e..7bde9c0 100644
--- a/docs/_sources/auto_examples/plot_knockoff_aggregation.rst.txt
+++ b/docs/_sources/auto_examples/plot_knockoff_aggregation.rst.txt
@@ -205,9 +205,9 @@ Imports needed for this script
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (5 minutes 23.029 seconds)
+   **Total running time of the script:** (5 minutes 34.048 seconds)
 
-**Estimated memory usage:**  752 MB
+**Estimated memory usage:**  763 MB
 
 
 .. _sphx_glr_download_auto_examples_plot_knockoff_aggregation.py:
diff --git a/docs/_sources/auto_examples/sg_execution_times.rst.txt b/docs/_sources/auto_examples/sg_execution_times.rst.txt
index 4ffa464..0ec47e1 100644
--- a/docs/_sources/auto_examples/sg_execution_times.rst.txt
+++ b/docs/_sources/auto_examples/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**08:58.109** total execution time for 5 files **from auto_examples**:
+**09:26.105** total execution time for 5 files **from auto_examples**:
 
 .. container::
 
@@ -33,17 +33,17 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_knockoff_aggregation.py` (``plot_knockoff_aggregation.py``)
-     - 05:23.029
-     - 752.0
+     - 05:34.048
+     - 763.3
    * - :ref:`sphx_glr_auto_examples_plot_fmri_data_example.py` (``plot_fmri_data_example.py``)
-     - 01:22.789
-     - 3157.1
+     - 01:34.855
+     - 3266.9
    * - :ref:`sphx_glr_auto_examples_plot_2D_simulation_example.py` (``plot_2D_simulation_example.py``)
-     - 01:03.161
-     - 691.2
+     - 01:07.006
+     - 707.8
    * - :ref:`sphx_glr_auto_examples_plot_dcrt_example.py` (``plot_dcrt_example.py``)
-     - 01:01.529
-     - 622.9
+     - 01:01.639
+     - 640.1
    * - :ref:`sphx_glr_auto_examples_plot_diabetes_variable_importance_example.py` (``plot_diabetes_variable_importance_example.py``)
-     - 00:07.601
-     - 608.7
+     - 00:08.555
+     - 625.5
diff --git a/docs/_sources/sg_execution_times.rst.txt b/docs/_sources/sg_execution_times.rst.txt
index 30dfe2e..5717119 100644
--- a/docs/_sources/sg_execution_times.rst.txt
+++ b/docs/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**08:58.109** total execution time for 5 files **from all galleries**:
+**09:26.105** total execution time for 5 files **from all galleries**:
 
 .. container::
 
@@ -33,17 +33,17 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_knockoff_aggregation.py` (``../examples/plot_knockoff_aggregation.py``)
-     - 05:23.029
-     - 752.0
+     - 05:34.048
+     - 763.3
    * - :ref:`sphx_glr_auto_examples_plot_fmri_data_example.py` (``../examples/plot_fmri_data_example.py``)
-     - 01:22.789
-     - 3157.1
+     - 01:34.855
+     - 3266.9
    * - :ref:`sphx_glr_auto_examples_plot_2D_simulation_example.py` (``../examples/plot_2D_simulation_example.py``)
-     - 01:03.161
-     - 691.2
+     - 01:07.006
+     - 707.8
    * - :ref:`sphx_glr_auto_examples_plot_dcrt_example.py` (``../examples/plot_dcrt_example.py``)
-     - 01:01.529
-     - 622.9
+     - 01:01.639
+     - 640.1
    * - :ref:`sphx_glr_auto_examples_plot_diabetes_variable_importance_example.py` (``../examples/plot_diabetes_variable_importance_example.py``)
-     - 00:07.601
-     - 608.7
+     - 00:08.555
+     - 625.5
diff --git a/docs/auto_examples/plot_2D_simulation_example.html b/docs/auto_examples/plot_2D_simulation_example.html
index dc03219..f6b3bc4 100644
--- a/docs/auto_examples/plot_2D_simulation_example.html
+++ b/docs/auto_examples/plot_2D_simulation_example.html
@@ -475,8 +475,8 @@ <h2>Analysis of the results<a class="headerlink" href="#analysis-of-the-results"
 conservative. In practice, Type-1 Error guarantees seem to hold
 for a lower spatial tolerance. This is an additional benefit of clustering
 randomization.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 3.161 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  691 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 7.006 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  708 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-2d-simulation-example-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/7d2770a07fbe419760c9ac177df4f69e/plot_2D_simulation_example.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_2D_simulation_example.ipynb</span></code></a></p>
diff --git a/docs/auto_examples/plot_dcrt_example.html b/docs/auto_examples/plot_dcrt_example.html
index 4db7b23..9f937d9 100644
--- a/docs/auto_examples/plot_dcrt_example.html
+++ b/docs/auto_examples/plot_dcrt_example.html
@@ -210,8 +210,8 @@ <h2>Plotting the comparison<a class="headerlink" href="#plotting-the-comparison"
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_plot_dcrt_example_001.png" srcset="../_images/sphx_glr_plot_dcrt_example_001.png" alt="Type-I Error, Power" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 1.529 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  623 MB</p>
+<img src="../_images/sphx_glr_plot_dcrt_example_001.png" srcset="../_images/sphx_glr_plot_dcrt_example_001.png" alt="Type-I Error, Power" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 1.639 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  640 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-dcrt-example-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/642b61154cca48af8e3feb505b920e16/plot_dcrt_example.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_dcrt_example.ipynb</span></code></a></p>
diff --git a/docs/auto_examples/plot_diabetes_variable_importance_example.html b/docs/auto_examples/plot_diabetes_variable_importance_example.html
index e5c990f..e1a5c8d 100644
--- a/docs/auto_examples/plot_diabetes_variable_importance_example.html
+++ b/docs/auto_examples/plot_diabetes_variable_importance_example.html
@@ -476,8 +476,8 @@ <h2>Analyze the results<a class="headerlink" href="#analyze-the-results" title="
   ax.set_xticklabels(diabetes.feature_names)
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.601 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  609 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.555 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  626 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-diabetes-variable-importance-example-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a70e28075a283d5e3fe675ced733c459/plot_diabetes_variable_importance_example.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_diabetes_variable_importance_example.ipynb</span></code></a></p>
diff --git a/docs/auto_examples/plot_fmri_data_example.html b/docs/auto_examples/plot_fmri_data_example.html
index 1f60513..7ce6621 100644
--- a/docs/auto_examples/plot_fmri_data_example.html
+++ b/docs/auto_examples/plot_fmri_data_example.html
@@ -252,8 +252,14 @@ <h2>Gathering and preprocessing Haxby dataset for a given subject<a class="heade
  ...done. (0 seconds, 0 min)
 Downloading data from http://data.pymvpa.org/datasets/haxby2001/subj2-2010.01.14.tar.gz ...
 
-Downloaded 115441664 of 291168628 bytes (39.6%,    1.5s remaining)
-Downloaded 262291456 of 291168628 bytes (90.1%,    0.2s remaining) ...done. (2 seconds, 0 min)
+Downloaded 16596992 of 291168628 bytes (5.7%,   16.8s remaining)
+Downloaded 55353344 of 291168628 bytes (19.0%,    8.6s remaining)
+Downloaded 94068736 of 291168628 bytes (32.3%,    6.4s remaining)
+Downloaded 133029888 of 291168628 bytes (45.7%,    4.8s remaining)
+Downloaded 172138496 of 291168628 bytes (59.1%,    3.5s remaining)
+Downloaded 211009536 of 291168628 bytes (72.5%,    2.3s remaining)
+Downloaded 249634816 of 291168628 bytes (85.7%,    1.2s remaining)
+Downloaded 288653312 of 291168628 bytes (99.1%,    0.1s remaining) ...done. (8 seconds, 0 min)
 Extracting data from /home/runner/nilearn_data/haxby2001/def37a305edfda829916fa14c9ea08f8/subj2-2010.01.14.tar.gz..... done.
 /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/nilearn/image/resampling.py:492: UserWarning: The provided image has no sform in its header. Please check the provided file. Results may not be as expected.
   warnings.warn(
@@ -307,7 +313,7 @@ <h2>Making the inference with several algorithms<a class="headerlink" href="#mak
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Parallel(n_jobs=1)]: Done  49 tasks      | elapsed:    1.6s
-[Parallel(n_jobs=1)]: Done 199 tasks      | elapsed:    6.3s
+[Parallel(n_jobs=1)]: Done 199 tasks      | elapsed:    6.6s
 </pre></div>
 </div>
 <p>Now, let us run the algorithm introduced by Gaonkar et al. (c.f. References).
@@ -343,7 +349,7 @@ <h2>Making the inference with several algorithms<a class="headerlink" href="#mak
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Parallel(n_jobs=2)]: Using backend LokyBackend with 2 concurrent workers.
-[Parallel(n_jobs=2)]: Done   5 out of   5 | elapsed:   32.3s finished
+[Parallel(n_jobs=2)]: Done   5 out of   5 | elapsed:   35.2s finished
 </pre></div>
 </div>
 </section>
@@ -466,8 +472,8 @@ <h2>Analysis of the results<a class="headerlink" href="#analysis-of-the-results"
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 22.789 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  3157 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 34.855 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  3267 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-fmri-data-example-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/931385a6992917f918857d6a3ee9f780/plot_fmri_data_example.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_fmri_data_example.ipynb</span></code></a></p>
diff --git a/docs/auto_examples/plot_knockoff_aggregation.html b/docs/auto_examples/plot_knockoff_aggregation.html
index 5418103..67ff772 100644
--- a/docs/auto_examples/plot_knockoff_aggregation.html
+++ b/docs/auto_examples/plot_knockoff_aggregation.html
@@ -287,8 +287,8 @@ <h2>Imports needed for this script<a class="headerlink" href="#imports-needed-fo
 <li><img src="../_images/sphx_glr_plot_knockoff_aggregation_001.png" srcset="../_images/sphx_glr_plot_knockoff_aggregation_001.png" alt="FDR = 0.1, n = 500, p = 500, rho = 0.7" class = "sphx-glr-multi-img"/></li>
 <li><img src="../_images/sphx_glr_plot_knockoff_aggregation_002.png" srcset="../_images/sphx_glr_plot_knockoff_aggregation_002.png" alt="FDR = 0.1, n = 500, p = 500, rho = 0.7" class = "sphx-glr-multi-img"/></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (5 minutes 23.029 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  752 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (5 minutes 34.048 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  763 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-knockoff-aggregation-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/8635bd4b58b2828c710e4331f35d14f6/plot_knockoff_aggregation.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_knockoff_aggregation.ipynb</span></code></a></p>
diff --git a/docs/auto_examples/sg_execution_times.html b/docs/auto_examples/sg_execution_times.html
index 6c03ebf..a43d271 100644
--- a/docs/auto_examples/sg_execution_times.html
+++ b/docs/auto_examples/sg_execution_times.html
@@ -110,7 +110,7 @@
       
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>08:58.109</strong> total execution time for 5 files <strong>from auto_examples</strong>:</p>
+<p><strong>09:26.105</strong> total execution time for 5 files <strong>from auto_examples</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -132,24 +132,24 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_knockoff_aggregation.html#sphx-glr-auto-examples-plot-knockoff-aggregation-py"><span class="std std-ref">Knockoff aggregation on simulated data</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_knockoff_aggregation.py</span></code>)</p></td>
-<td><p>05:23.029</p></td>
-<td><p>752.0</p></td>
+<td><p>05:34.048</p></td>
+<td><p>763.3</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_fmri_data_example.html#sphx-glr-auto-examples-plot-fmri-data-example-py"><span class="std std-ref">Support recovery on fMRI data</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_fmri_data_example.py</span></code>)</p></td>
-<td><p>01:22.789</p></td>
-<td><p>3157.1</p></td>
+<td><p>01:34.855</p></td>
+<td><p>3266.9</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_2D_simulation_example.html#sphx-glr-auto-examples-plot-2d-simulation-example-py"><span class="std std-ref">Support recovery on simulated data (2D)</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_2D_simulation_example.py</span></code>)</p></td>
-<td><p>01:03.161</p></td>
-<td><p>691.2</p></td>
+<td><p>01:07.006</p></td>
+<td><p>707.8</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_dcrt_example.html#sphx-glr-auto-examples-plot-dcrt-example-py"><span class="std std-ref">Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_dcrt_example.py</span></code>)</p></td>
-<td><p>01:01.529</p></td>
-<td><p>622.9</p></td>
+<td><p>01:01.639</p></td>
+<td><p>640.1</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_diabetes_variable_importance_example.html#sphx-glr-auto-examples-plot-diabetes-variable-importance-example-py"><span class="std std-ref">Variable Importance on diabetes dataset</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_diabetes_variable_importance_example.py</span></code>)</p></td>
-<td><p>00:07.601</p></td>
-<td><p>608.7</p></td>
+<td><p>00:08.555</p></td>
+<td><p>625.5</p></td>
 </tr>
 </tbody>
 </table>
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 14352c6..f41af8e 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"API": [[26, "api"]], "API Documentation": [[0, null]], "Analysis of the results": [[2, "analysis-of-the-results"], [5, "analysis-of-the-results"]], "Analyze the results": [[4, "analyze-the-results"]], "Build the documentation": [[26, "build-the-documentation"]], "Choosing inference parameters": [[2, "choosing-inference-parameters"]], "Classes": [[0, "classes"]], "Computation times": [[7, null], [27, null]], "Computing z-score thresholds for support estimation": [[2, "computing-z-score-thresholds-for-support-estimation"]], "Define a function to compute the p-value from importance values": [[4, "define-a-function-to-compute-the-p-value-from-importance-values"]], "Dependencies": [[26, "dependencies"]], "Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners": [[3, null]], "Documentation & Examples": [[26, "documentation-examples"]], "Estimators": [[0, "estimators"]], "Examples Gallery": [[1, null]], "Fit a baselien model on the diabetes dataset": [[4, "fit-a-baselien-model-on-the-diabetes-dataset"]], "Fit a baseline model on the diabetes dataset": [[4, "fit-a-baseline-model-on-the-diabetes-dataset"]], "Function to fetch and preprocess Haxby dataset": [[5, "function-to-fetch-and-preprocess-haxby-dataset"]], "Functions": [[0, "functions"]], "Gathering and preprocessing Haxby dataset for a given subject": [[5, "gathering-and-preprocessing-haxby-dataset-for-a-given-subject"]], "Generating the data": [[2, "generating-the-data"]], "HiDimStat: High-dimensional statistical inference tool for Python": [[26, null]], "Imports needed for this script": [[2, "imports-needed-for-this-script"], [3, "imports-needed-for-this-script"], [4, "imports-needed-for-this-script"], [5, "imports-needed-for-this-script"], [6, "imports-needed-for-this-script"]], "Inference with several algorithms": [[2, "inference-with-several-algorithms"]], "Initializing FeatureAgglomeration object that performs the clustering": [[5, "initializing-featureagglomeration-object-that-performs-the-clustering"]], "Installation": [[26, "installation"]], "Knockoff aggregation on simulated data": [[6, null]], "Load the diabetes dataset": [[4, "load-the-diabetes-dataset"]], "Main references": [[26, "main-references"]], "Making the inference with several algorithms": [[5, "making-the-inference-with-several-algorithms"]], "Measure the importance of variables using the CPI method": [[4, "measure-the-importance-of-variables-using-the-cpi-method"]], "Measure the importance of variables using the LOCO method": [[4, "measure-the-importance-of-variables-using-the-loco-method"]], "Measure the importance of variables using the permutation method": [[4, "measure-the-importance-of-variables-using-the-permutation-method"]], "Other useful references": [[26, "other-useful-references"]], "Plotting the comparison": [[3, "plotting-the-comparison"]], "Plotting the results": [[5, "plotting-the-results"]], "Processing the computations": [[3, "processing-the-computations"]], "References": [[2, "references"], [4, "references"], [5, "references"], [6, "references"], [26, "references"]], "Results": [[2, "results"]], "Specific plotting functions": [[2, "specific-plotting-functions"]], "Support recovery on fMRI data": [[5, null]], "Support recovery on simulated data (2D)": [[2, null]], "Variable Importance on diabetes dataset": [[4, null]], "hidimstat.CPI": [[8, null]], "hidimstat.LOCO": [[9, null]], "hidimstat.PermutationImportance": [[10, null]], "hidimstat.ada_svr": [[11, null]], "hidimstat.aggregate_quantiles": [[12, null]], "hidimstat.clustered_inference": [[13, null]], "hidimstat.data_simulation": [[14, null]], "hidimstat.desparsified_lasso": [[15, null]], "hidimstat.ensemble_clustered_inference": [[16, null]], "hidimstat.group_reid": [[17, null]], "hidimstat.hd_inference": [[18, null]], "hidimstat.knockoff_aggregation": [[19, null]], "hidimstat.model_x_knockoff": [[20, null]], "hidimstat.multivariate_1D_simulation": [[21, null]], "hidimstat.permutation_test_cv": [[22, null]], "hidimstat.reid": [[23, null]], "hidimstat.standardized_svr": [[24, null]], "hidimstat.zscore_from_pval": [[25, null]]}, "docnames": ["api", "auto_examples/index", "auto_examples/plot_2D_simulation_example", "auto_examples/plot_dcrt_example", "auto_examples/plot_diabetes_variable_importance_example", "auto_examples/plot_fmri_data_example", "auto_examples/plot_knockoff_aggregation", "auto_examples/sg_execution_times", "generated/hidimstat.CPI", "generated/hidimstat.LOCO", "generated/hidimstat.PermutationImportance", "generated/hidimstat.ada_svr", "generated/hidimstat.aggregate_quantiles", "generated/hidimstat.clustered_inference", "generated/hidimstat.data_simulation", "generated/hidimstat.desparsified_lasso", "generated/hidimstat.ensemble_clustered_inference", "generated/hidimstat.group_reid", "generated/hidimstat.hd_inference", "generated/hidimstat.knockoff_aggregation", "generated/hidimstat.model_x_knockoff", "generated/hidimstat.multivariate_1D_simulation", "generated/hidimstat.permutation_test_cv", "generated/hidimstat.reid", "generated/hidimstat.standardized_svr", "generated/hidimstat.zscore_from_pval", "index", "sg_execution_times"], "envversion": {"sphinx": 64, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9}, "filenames": ["api.rst", "auto_examples/index.rst", "auto_examples/plot_2D_simulation_example.rst", "auto_examples/plot_dcrt_example.rst", "auto_examples/plot_diabetes_variable_importance_example.rst", "auto_examples/plot_fmri_data_example.rst", "auto_examples/plot_knockoff_aggregation.rst", "auto_examples/sg_execution_times.rst", "generated/hidimstat.CPI.rst", "generated/hidimstat.LOCO.rst", "generated/hidimstat.PermutationImportance.rst", "generated/hidimstat.ada_svr.rst", "generated/hidimstat.aggregate_quantiles.rst", "generated/hidimstat.clustered_inference.rst", "generated/hidimstat.data_simulation.rst", "generated/hidimstat.desparsified_lasso.rst", "generated/hidimstat.ensemble_clustered_inference.rst", "generated/hidimstat.group_reid.rst", "generated/hidimstat.hd_inference.rst", "generated/hidimstat.knockoff_aggregation.rst", "generated/hidimstat.model_x_knockoff.rst", "generated/hidimstat.multivariate_1D_simulation.rst", "generated/hidimstat.permutation_test_cv.rst", "generated/hidimstat.reid.rst", "generated/hidimstat.standardized_svr.rst", "generated/hidimstat.zscore_from_pval.rst", "index.rst", "sg_execution_times.rst"], "indexentries": {"__init__() (hidimstat.cpi method)": [[8, "hidimstat.CPI.__init__", false]], "__init__() (hidimstat.loco method)": [[9, "hidimstat.LOCO.__init__", false]], "__init__() (hidimstat.permutationimportance method)": [[10, "hidimstat.PermutationImportance.__init__", false]], "ada_svr() (in module hidimstat)": [[11, "hidimstat.ada_svr", false]], "aggregate_quantiles() (in module hidimstat)": [[12, "hidimstat.aggregate_quantiles", false]], "clustered_inference() (in module hidimstat)": [[13, "hidimstat.clustered_inference", false]], "cpi (class in hidimstat)": [[8, "hidimstat.CPI", false]], "desparsified_lasso() (in module hidimstat)": [[15, "hidimstat.desparsified_lasso", false]], "ensemble_clustered_inference() (in module hidimstat)": [[16, "hidimstat.ensemble_clustered_inference", false]], "group_reid() (in module hidimstat)": [[17, "hidimstat.group_reid", false]], "hd_inference() (in module hidimstat)": [[18, "hidimstat.hd_inference", false]], "hidimstat.data_simulation": [[14, "module-hidimstat.data_simulation", false]], "knockoff_aggregation() (in module hidimstat)": [[19, "hidimstat.knockoff_aggregation", false]], "loco (class in hidimstat)": [[9, "hidimstat.LOCO", false]], "model_x_knockoff() (in module hidimstat)": [[20, "hidimstat.model_x_knockoff", false]], "module": [[14, "module-hidimstat.data_simulation", false]], "multivariate_1d_simulation() (in module hidimstat)": [[21, "hidimstat.multivariate_1D_simulation", false]], "permutation_test_cv() (in module hidimstat)": [[22, "hidimstat.permutation_test_cv", false]], "permutationimportance (class in hidimstat)": [[10, "hidimstat.PermutationImportance", false]], "reid() (in module hidimstat)": [[23, "hidimstat.reid", false]], "standardized_svr() (in module hidimstat)": [[24, "hidimstat.standardized_svr", false]], "zscore_from_pval() (in module hidimstat)": [[25, "hidimstat.zscore_from_pval", false]]}, "objects": {"hidimstat": [[8, 0, 1, "", "CPI"], [9, 0, 1, "", "LOCO"], [10, 0, 1, "", "PermutationImportance"], [11, 2, 1, "", "ada_svr"], [12, 2, 1, "", "aggregate_quantiles"], [13, 2, 1, "", "clustered_inference"], [14, 3, 0, "-", "data_simulation"], [15, 2, 1, "", "desparsified_lasso"], [16, 2, 1, "", "ensemble_clustered_inference"], [17, 2, 1, "", "group_reid"], [18, 2, 1, "", "hd_inference"], [19, 2, 1, "", "knockoff_aggregation"], [20, 2, 1, "", "model_x_knockoff"], [21, 2, 1, "", "multivariate_1D_simulation"], [22, 2, 1, "", "permutation_test_cv"], [23, 2, 1, "", "reid"], [24, 2, 1, "", "standardized_svr"], [25, 2, 1, "", "zscore_from_pval"]], "hidimstat.CPI": [[8, 1, 1, "", "__init__"]], "hidimstat.LOCO": [[9, 1, 1, "", "__init__"]], "hidimstat.PermutationImportance": [[10, 1, 1, "", "__init__"]]}, "objnames": {"0": ["py", "class", "Python class"], "1": ["py", "method", "Python method"], "2": ["py", "function", "Python function"], "3": ["py", "module", "Python module"]}, "objtypes": {"0": "py:class", "1": "py:method", "2": "py:function", "3": "py:module"}, "terms": {"": [2, 4, 8, 9, 15, 23, 26], "0": [2, 3, 4, 5, 6, 7, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 27], "00": [7, 22, 24, 27], "0001": [17, 23], "001": [11, 15], "01": [5, 6, 7, 15, 17, 22, 23, 24, 27], "01492149527525": 4, "02": [22, 24], "02351": 20, "02590": [2, 13, 16, 26], "029": [6, 7, 27], "03": [7, 22, 24, 27], "04": [22, 24], "05": [4, 6, 7, 19, 22, 24, 27], "06": [22, 24], "07": [7, 22, 24, 27], "08": [7, 19, 27], "08885": 15, "09": 6, "1": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27], "10": [2, 3, 4, 5, 6, 8, 19, 21, 26], "100": [2, 5, 21], "1000": [3, 22], "10000": [17, 23], "1010933404324": 4, "1013699998": 19, "1023": 4, "104": [12, 19], "109": [7, 27], "1093": 6, "11": [2, 4], "1111": 6, "11195": 8, "11203": 8, "115441664": 5, "1166": [15, 26], "117921": [5, 26], "1186": 4, "119": [6, 19, 26], "1198": 19, "12": [2, 5], "1202": [15, 26], "1214": [19, 26], "122": 6, "12265": 6, "13": [2, 6, 19], "13716": 15, "14": [2, 5], "1438606853": 26, "1471": 4, "15": [2, 3, 5, 15, 26], "151600911163946": 4, "154": 6, "16": 2, "1609": 8, "161": [2, 7, 27], "1610": 20, "1671": [12, 19], "1681": [12, 19], "17": 2, "18": [2, 6, 19], "19": 2, "1902": 15, "199": 5, "1d": [19, 20, 21], "1e": [4, 11, 15, 17, 23], "1e4": [17, 23], "2": [2, 3, 4, 5, 6, 7, 8, 12, 15, 16, 17, 19, 23, 27], "20": [2, 5, 6], "200": [2, 5], "2001": [4, 19], "2007": 15, "2008": 4, "2009": [12, 19], "2010": 5, "2012": [5, 11], "2014": [2, 15, 26], "2015": 26, "2016": 23, "2017": 20, "2018": [6, 26], "2019": 15, "2020": [6, 15, 17, 19, 26], "2021": [2, 5, 13, 16, 26], "2023": [4, 6, 8, 9, 26], "2024": [8, 26], "2055": 26, "2085": 26, "21": [2, 3], "2105": 4, "2106": [2, 13, 16, 26], "21600000000000003": 5, "217": [15, 26], "22": [2, 5, 7, 27], "23": [2, 6, 7, 27], "234": [5, 26], "24": 2, "242": [15, 26], "249": 4, "25": [5, 6, 16, 19], "26": 6, "26090648721779": 4, "262291456": 5, "265": 4, "2722061930940729": 4, "2869": [15, 26], "287948367546456": 4, "28997": 8, "29": 19, "2909": [15, 26], "291168628": 5, "2d": [1, 7, 20, 26, 27], "3": [2, 3, 4, 5, 6, 11, 15, 16, 19, 26], "307": 4, "308": 5, "3119253313517": 4, "3157": [5, 7, 27], "32": [4, 5], "33092885980301545": 4, "33374807702299": 4, "34873505091371093": 4, "34h": 17, "34th": 26, "35": 23, "352999936251216": 4, "35323376775815": 4, "36": [4, 8, 9], "3633702441001": 4, "36967014548640154": 4, "37th": [6, 19, 26], "38": 8, "38th": 26, "39": 5, "4": [2, 3, 4, 5, 15, 17, 23], "40": [2, 5], "42": [15, 26], "43": 26, "45": [4, 6], "46114740610001137": 4, "46246416851449": 4, "47": 4, "479244269131684": 4, "48683083150894546": 4, "488": [12, 19], "49": [4, 5], "492": 5, "49274696": 6, "5": [2, 3, 4, 5, 6, 7, 15, 19, 26, 27], "50": [4, 5, 8, 10, 19], "500": [5, 6, 21], "5000": 15, "5048253747874585": 4, "51": 4, "52": 4, "5235794267120801": 4, "529": [3, 7, 27], "53": 4, "5316220308691071": 4, "5333394029342122": 4, "54": 4, "55": 4, "551": [6, 26], "5514585816057873": 4, "56": 4, "56629998": 6, "57429457038258": 4, "577": [6, 26], "58": [4, 7, 27], "5858181205553151": 4, "59": 4, "5979566135054368": 4, "5e": 3, "6": [2, 3, 4, 5, 26], "601": [4, 7, 27], "608": [7, 27], "609": 4, "61": 4, "622": [7, 27], "623": 3, "638": 26, "646": 26, "65": 6, "665318862395647": 4, "666537166030764": 4, "67": 23, "67662": [4, 8, 9], "67685": [4, 8, 9], "683": 5, "691": [2, 7, 27], "69518424561582": 4, "7": [2, 3, 4, 5, 6, 7, 22, 24, 27], "723": [5, 11], "7236176985951": 4, "7283": [6, 19], "7293": [6, 19], "730": [5, 11], "7422256933791083": 5, "752": [6, 7, 27], "75372711094103": 4, "7868": 5, "789": [5, 7, 27], "8": [2, 3, 4], "80": [6, 26], "86": 6, "9": [2, 3, 4, 7, 22, 24, 27], "90": 5, "95": 15, "A": [2, 4, 5, 6, 8, 9, 13, 15, 16, 17, 23, 26], "As": [2, 5, 26], "By": [5, 13, 15, 16, 18, 19], "For": [2, 5, 26], "If": [2, 8, 13, 15, 16, 17, 18, 19, 22, 26], "In": [2, 4, 5, 6, 8, 9, 11, 17, 19, 26], "It": 5, "On": [15, 26], "One": [9, 13, 16, 18, 22, 25], "Or": 26, "The": [2, 3, 4, 5, 8, 9, 10, 13, 15, 16, 17, 18, 19, 22, 23, 24, 26], "Then": [2, 15], "To": [2, 4, 5, 26], "_": [2, 3, 4, 5, 6], "_3": 6, "_551": 6, "_80": 6, "__": 3, "__init__": [8, 9, 10], "_coordinate_desc": 5, "_map_show": 5, "_slicer": 5, "aaai": [8, 26], "aarti": [6, 19], "about": [2, 26], "abov": 19, "academ": 6, "accept": 25, "accord": 5, "account": 2, "accur": [2, 13, 16, 18, 22, 25], "achim": 4, "activ": [2, 5], "ad": 5, "ada": 5, "ada_svr": 5, "adapt": [5, 12, 16, 19], "adaptive_aggreg": 19, "adaptive_permutation_threshold": 5, "add": [2, 5], "add_one_subplot": 2, "addit": [2, 5, 15, 21], "adjust": [5, 15], "advanc": [4, 8, 9, 26], "advantag": 2, "advoc": 5, "affect": 4, "aforement": 26, "after": [2, 4], "against": [15, 17], "aggreg": [1, 2, 5, 7, 12, 16, 19, 26, 27], "aggregated_ev": 19, "aggregated_ko_select": 6, "aggregated_pv": 19, "agnost": 4, "ahmad": [4, 8, 9], "aim": [2, 4, 5], "ako": 26, "al": [2, 4, 5, 6, 8, 9, 11, 19, 20], "alexi": [6, 19], "algorithm": [8, 9, 13, 16, 26], "all": [1, 5, 13, 15, 16, 19, 27], "allow": 5, "along": 19, "alpha": [3, 4, 6, 15], "alpha_max": [15, 17, 23], "alpha_max_fract": 15, "alpha_min": [17, 23], "alreadi": 5, "also": [2, 4, 5, 15, 17, 26], "alwai": 15, "american": [12, 19], "among": [2, 5], "an": [2, 4, 6], "anat": 5, "anatom": 5, "ani": [4, 5], "ann": [4, 19], "annal": [15, 26], "anoth": 5, "ao": [19, 26], "aos1337": 26, "append": [2, 3, 4, 6], "appli": [2, 3, 5, 19], "applic": [15, 26], "appreci": 26, "approach": 4, "approxim": 5, "ar": [2, 3, 4, 5, 11, 13, 15, 16, 17, 18, 19, 22, 23, 26], "arang": 4, "argu": 2, "argument": [13, 16, 18], "arlot": [6, 19, 26], "around": 5, "arrai": [4, 11, 15, 19, 20, 22, 23, 24], "articl": [6, 8, 26], "artifici": [8, 26], "arxiv": [2, 6, 13, 15, 16, 20, 26], "asarrai": 5, "assess": [4, 8, 9, 26], "assist": [5, 11, 26], "associ": [4, 6, 8, 9, 12, 19, 26], "assum": [5, 25], "astyp": 5, "asymptot": [15, 26], "augustin": 4, "austria": 26, "auto_exampl": 7, "auto_examples_jupyt": 1, "auto_examples_python": 1, "autoregress": 17, "avail": [2, 13, 15, 16, 18, 26], "averag": 2, "avoid": 15, "ax": [2, 3, 4], "axhlin": [3, 4], "axi": [2, 4], "b": [2, 5, 6, 11, 13, 15, 16, 17, 26], "back": 5, "backend": 5, "bar": 4, "barber": [6, 26], "base": [3, 4, 5, 11, 20], "been": [15, 26], "befor": [4, 13, 16, 18, 19, 20], "beforehand": 15, "behavior": 5, "being": [12, 16], "bellec": 15, "below": [2, 5], "benefit": [2, 5], "benjamini": 19, "berlin": [5, 11], "bertrand": [4, 6, 8, 9, 19], "best": 6, "beta": [2, 21], "beta_extend": 2, "beta_hat": [2, 5, 11, 13, 15, 16, 17, 18, 23, 24], "better": 5, "between": [2, 4, 5, 17, 21], "bg_img": 5, "bh": 19, "bhq": 19, "bhy": 19, "bias": [4, 15, 26], "binh": [6, 19], "bioinformat": 4, "bisect": 4, "bit": 2, "blue": 6, "bmc": 4, "bonferroni": [2, 5], "bool": [5, 8, 9, 10, 15, 17, 19, 20, 21], "bootstrap": 19, "both": [2, 4], "bottom": 2, "boulesteix": 4, "bound": [2, 6, 15], "boxplot": [3, 6], "brain": 5, "break": [2, 4, 21], "breiman": 4, "briefli": 2, "buid": 4, "build": [2, 5, 13, 16], "bunch": 5, "bypass": 4, "byte": 5, "b\u00fchlmann": [12, 15, 19, 26], "c": [2, 5, 6, 11, 15, 22, 24, 26], "cach": [13, 15, 16, 18, 19], "cal_fdp_pow": 6, "calcul": [19, 20], "call": [2, 5], "callabl": [8, 9, 10], "can": [2, 5, 6, 8, 26], "canada": 26, "cand": 20, "cand\u00e8": [6, 26], "carolin": 4, "case": [2, 4], "cb_max": [2, 15], "cb_min": [2, 15], "cc": [4, 8, 9], "cd": 26, "cd_fast": 5, "celentano": 15, "center": [15, 19, 20], "cf": [12, 15], "cham": 26, "chamma": [4, 8, 9, 26], "chang": 5, "check": [4, 5, 15, 17, 23], "check_random_st": 6, "chevali": [2, 5, 6, 13, 16, 17, 19, 26], "choic": [2, 5], "choos": 5, "chunk": 5, "citat": 26, "class": [8, 9, 10, 19], "classif": [5, 11, 19], "clip": 4, "clone": [4, 8, 26], "close": [2, 5, 13, 16, 18, 22, 25], "closer": 2, "cludl": [2, 5], "cluster": [2, 13, 16, 18, 19, 26], "clustered_infer": [2, 5], "cm": 4, "code": [1, 2, 3, 4, 5, 6, 15, 17, 23], "coeffici": [3, 6], "color": [3, 4, 6], "colormap": 4, "column": [4, 15], "com": [6, 26], "combin": 5, "command": 26, "compar": [2, 3, 4, 5], "comparison": [5, 11], "compat": [8, 9, 10], "compress": [2, 5, 13, 16], "comput": [5, 11, 12, 13, 15, 16, 18, 19, 22, 25, 26], "compute_pv": 4, "concat": 4, "concept": 2, "concern": 2, "concurr": 5, "condit": [1, 4, 5, 7, 8, 9, 26, 27], "condition_mask": 5, "confer": [4, 5, 6, 8, 9, 11, 17, 19, 26], "confid": [5, 15, 26], "connect": [2, 5], "consecut": 17, "conserv": [2, 5], "consid": [2, 5, 12, 15, 16, 17], "consider": 15, "consist": [2, 5], "constant": 17, "constrain": 6, "construct": [2, 19, 20], "construct_method": 19, "contain": [2, 4, 5, 15, 22, 24], "context": 26, "continu": [15, 17, 23], "contrast": 5, "contribut": 26, "control": [2, 4, 5, 6, 13, 16, 17, 19, 20, 23, 26], "converg": 5, "convergencewarn": 5, "corner": 2, "correct": [2, 5, 13, 16, 18, 22], "correction_clust": [2, 5], "correction_no_clust": 2, "correl": [2, 3, 4, 5, 6, 17, 19, 20, 21], "correspond": [2, 5, 19], "cortex": 5, "costli": 4, "cov_estim": [19, 20], "cov_hat": 17, "covari": [8, 9, 17, 19, 20], "covariate_estim": 4, "cpi_importance_list": 4, "cpi_pval": 4, "cpi_vim_arr": 4, "cpu": [13, 15, 16, 17, 18, 22, 23, 24], "creat": [2, 4, 5], "cross": [4, 17, 22, 23, 24], "cumul": 22, "curran": [4, 8, 9], "current": [2, 13, 15, 16, 18], "cut_coord": 5, "cutoff": 11, "cv": 5, "d": [2, 26], "d0crt": 3, "d60e14c19cd6e0fc38556ad29ac8fbc9": [4, 8, 9], "daniel": 19, "data": [1, 4, 7, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27], "data_simul": 6, "datafram": [4, 5], "dataset": [1, 2, 7, 26, 27], "daum\u00e9": [6, 19], "davatziko": [5, 11], "dcrt": [1, 7, 27], "dcrt_zero": 3, "de": [2, 15, 26], "deal": 2, "decemb": 20, "decod": [5, 26], "def": [2, 4, 5, 6], "def37a305edfda829916fa14c9ea08f8": 5, "default": [5, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25], "defin": [2, 19], "degre": [4, 15], "delta": 2, "demonstr": 4, "deni": [4, 8, 9], "depend": [2, 4, 5, 19], "deprec": 4, "derandom": 6, "derandomis": 6, "deriv": [2, 5, 11], "describ": [2, 6, 9], "design": [2, 15, 20, 21], "desir": [6, 19, 20], "desparsifi": [2, 5, 13, 15, 16, 17, 18, 26], "desparsified_lasso": 2, "destroi": 4, "detail": [2, 26], "determin": 22, "develop": 26, "deviat": [2, 11, 17, 21, 23, 24], "dezeur": [15, 26], "df_plot": 4, "diabet": [1, 7, 27], "diamet": 2, "did": 5, "differ": [2, 5, 8, 26], "dim": 5, "dimens": 2, "dimension": [2, 4, 5, 6, 8, 12, 13, 15, 16, 18, 19, 20], "directli": [4, 17], "directori": [13, 15, 16, 18, 19], "discimin": 5, "discov": 5, "discoveri": [2, 5, 6, 19, 20, 26], "discrimin": 5, "displai": 5, "distanc": 2, "distil": [1, 7, 27], "distrib": 25, "distribut": [5, 6, 22, 25], "divid": [2, 5], "do": [2, 5, 19, 20], "doc": 26, "doe": [2, 4, 5], "dof_ajdust": 15, "doi": [4, 6, 8, 19, 26], "done": [5, 13, 15, 16, 18, 19], "download": [1, 2, 3, 4, 5, 6, 26], "dramat": 2, "draw": 2, "drawback": 6, "drop": 4, "dual": [15, 17, 23], "dualiti": 5, "due": [2, 5], "dure": [13, 15, 17, 18, 22, 23, 24], "e": [2, 4, 5, 6, 19, 22, 24, 26], "each": [8, 15, 17, 26], "eas": [2, 4], "ebh": 19, "ecdl": 26, "edg": 2, "editor": [4, 6, 8, 9, 19], "eeg": [17, 26], "effect": [13, 16, 18, 22, 25], "either": 20, "elaps": 5, "els": [2, 5, 6], "emmanuel": [6, 20], "empir": [6, 19, 20], "empti": 5, "enabl": 2, "encludl": [2, 5], "end": [2, 3, 4, 5, 6], "enet_coordinate_descent_gram": 5, "enfold": 2, "engemann": [4, 8, 9, 26], "ensembl": [2, 5, 16, 26], "ensemble_clustered_infer": [2, 5], "ensembling_method": 16, "ensur": 15, "enumer": 4, "ep": [17, 23], "epsilon": 2, "equal": [2, 15, 22], "equi": [19, 20], "equival": [19, 20], "error": [2, 3, 23], "estim": [3, 4, 5, 6, 8, 9, 10, 11, 13, 15, 16, 17, 18, 19, 20, 23, 24, 25], "et": [2, 4, 5, 6, 8, 9, 11, 19, 20], "euclid": 26, "eval": 19, "eval_select": 6, "evalu": [8, 9, 10], "everi": [2, 13, 16, 17], "exampl": [2, 3, 4, 5, 6, 7, 27], "exclus": 4, "execut": [7, 27], "exhibit": [2, 6], "expect": 5, "experi": 2, "extract": 5, "f": [2, 3, 4, 5, 6, 26], "face": 5, "fake": 4, "fals": [2, 3, 5, 6, 8, 9, 10, 15, 19, 20, 26], "fan": [6, 20, 26], "fdp": 6, "fdp_eval": 6, "fdp_mx": 6, "fdp_pval": 6, "fdps_eval": 6, "fdps_mx": 6, "fdps_pval": 6, "fdr": [6, 19, 20], "fdr_control": 19, "feasibl": 2, "featur": [2, 5, 21], "feature_extract": [2, 5], "feature_nam": 4, "featureagglomer": [2, 13, 16], "fetch_haxbi": 5, "fig": [2, 3, 4], "figsiz": [2, 3, 6], "figur": 6, "file": [4, 5, 7, 8, 9, 27], "filter": 2, "final": [2, 5], "finish": 5, "first": [2, 5, 16], "fit_i": 17, "fit_transform": 5, "fix": [4, 19], "fixedloc": 4, "flatten": 2, "float": [11, 12, 13, 15, 16, 17, 19, 20, 21, 22, 23], "fmri": [1, 7, 26, 27], "fmri_filenam": 5, "fmri_mask": 5, "focu": 5, "fold": 4, "follow": [2, 4, 26], "font": [3, 6], "forest": [1, 4, 7, 27], "formal": 2, "formul": 5, "formula": [12, 16], "four": 2, "foygel": 6, "fr": 5, "fraction": [13, 16], "freedom": 15, "frequenc": [15, 19, 22], "friedman": 23, "from": [2, 3, 5, 6, 7, 15, 25, 26, 27], "full": [2, 3, 4, 5, 6], "func": 5, "function": [3, 8, 9, 10, 12, 13, 14, 16, 18, 19, 22, 26], "fwer": [2, 5], "fwer_target": 2, "g": [2, 5, 26], "galleri": [2, 3, 4, 5, 6, 27], "gamma": [6, 12, 16, 19], "gamma_min": [12, 16, 19], "gaonkar": [5, 11], "gap": [5, 15, 17, 23], "gaussian": [2, 5, 15, 20, 21], "geer": [2, 15, 26], "gener": [1, 3, 4, 5, 6, 13, 15, 16, 19, 20, 21], "get": 3, "get_cmap": 4, "get_fdata": 5, "get_xaxi": 2, "get_yaxi": 2, "git": 26, "github": [2, 26], "give": 17, "given": [4, 13, 15, 16, 17, 18, 19], "globerson": [4, 8, 9], "go": [2, 3, 4, 5, 6], "gold": [6, 20, 26], "good": 5, "gramfort": [17, 26], "greater": 2, "grid": [22, 24], "grid_to_graph": [2, 5], "ground": 5, "group": [2, 4, 5, 8, 11, 13, 16, 17, 18, 26], "guarante": [2, 5], "gz": 5, "h": [2, 15, 26], "ha": [2, 4, 5, 6, 15], "hal": [6, 19], "handl": 26, "hard": 5, "hardt": [4, 8, 9], "have": [2, 5, 17, 26], "haxbi": 26, "haxby2001": 5, "haxby_dataset": 5, "header": 5, "heidelberg": [5, 11], "here": [5, 26], "hidimstat": [2, 3, 4, 5, 6], "hierarch": [13, 16], "high": [2, 4, 5, 6, 8, 12, 13, 15, 16, 18, 19, 20], "higher": 2, "highli": 4, "histgradientboostingregressor": 4, "hline": 6, "hochberg": 19, "hold": 2, "home": [4, 5], "hostedtoolcach": 5, "hous": 5, "how": 26, "howev": [2, 4, 5], "html": [6, 19, 26], "http": [2, 4, 5, 6, 8, 9, 19, 26], "hyper": [2, 22, 24], "hypothesi": [15, 26], "i": [2, 3, 4, 5, 6, 8, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26], "idea": 2, "ideal": 26, "ie": [13, 16, 18, 22, 25], "iii": [6, 19], "iinfo": 6, "illustr": [2, 26], "im": [2, 5], "imag": [2, 5, 11, 17, 26], "img": 5, "impact": 4, "implement": [3, 19], "import": [1, 7, 8, 9, 26, 27], "imputation_model": [4, 8], "imshow": [2, 5], "inc": [4, 8, 9], "includ": [5, 19], "increas": [5, 15, 19, 22], "inde": 2, "index": [8, 19, 20], "infer": [6, 11, 13, 16, 18, 19, 20], "inference_method": 16, "infernec": 2, "influenc": 4, "inform": [4, 8, 9, 17, 26], "input": [4, 19], "input_data": 5, "inria": [2, 26], "instead": 4, "int": [8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "int32": 6, "integr": 4, "intellig": [8, 26], "intercept": 15, "interest": [4, 15], "intern": [5, 6, 11, 19, 26], "interv": [15, 26], "intervent": [5, 11, 26], "introduc": [2, 4, 5, 6, 19], "introduct": 5, "invers": [5, 22], "inverse_transform": 5, "io": [2, 26], "ipynb": [2, 3, 4, 5, 6], "isol": 5, "iter": [5, 15, 17, 19, 23], "its": [4, 5], "j": [2, 5, 13, 16, 17, 23, 26], "janson": [6, 20, 26], "jasa": 19, "javanmard": [2, 15, 26], "jerom": [6, 19], "jinchi": [6, 20], "job": [8, 9, 10], "joblib": [13, 15, 18, 19, 26], "joblib_verbos": 19, "joblib_versob": 19, "journal": [6, 12, 15, 19, 26], "jrsssb": 6, "jul": [6, 19], "juli": 4, "jupyt": [1, 2, 3, 4, 5, 6], "k": [2, 4, 8, 9], "kei": 3, "kf": 4, "kfold": [4, 17, 23], "kind": 26, "kneib": 4, "knockoff": [1, 7, 19, 20, 26, 27], "knockoff_aggreg": 6, "kwarg": [5, 13, 16, 18], "l": [4, 12, 26], "label": [4, 5, 6, 13, 16, 19], "labelbottom": 2, "labelleft": 2, "lack": 2, "largest": 2, "largest_singular_valu": 11, "lasso": [1, 2, 5, 7, 13, 15, 16, 17, 18, 23, 26, 27], "lasso_cv": [19, 20], "lassocv": [17, 23], "lastli": 2, "latest": 26, "laur": 4, "layout": 6, "lead": 2, "learn": [4, 6, 8, 9, 10, 13, 15, 16, 19, 26], "learner": [1, 7, 27], "leav": 9, "ledoit_wolf": [19, 20], "ledoitwolf": 19, "left": 2, "legend": [4, 6], "len": 6, "length": [8, 17, 23], "leo": 4, "less": 5, "let": 5, "level": [2, 4, 6, 8, 13, 15, 16, 18, 19, 20, 21, 22], "leverag": [2, 6], "levin": [4, 8, 9], "lib": 5, "like": 19, "limit": [2, 4], "line": 5, "linear": [2, 3, 13, 15, 16, 22, 24, 26], "linear_model": [4, 5], "linewidth": 3, "linkag": 2, "list": [8, 12, 19, 22, 24], "list_one_sided_pv": 12, "littl": 2, "load": 5, "load_diabet": 4, "loc": 6, "local": 26, "loco_importance_list": 4, "loco_pv": 4, "loco_vim_arr": 4, "log10": 4, "log_": 4, "logical_or": [2, 5], "logspac": [4, 22, 24], "lokybackend": 5, "look": 5, "loss": [4, 8, 9, 10], "low": [15, 26], "lower": [2, 15], "lowest": [12, 16], "luca": [6, 20], "luka": 19, "lv": [6, 20, 26], "m": [4, 8, 9, 15], "machin": [4, 6, 15, 19, 26], "made": 4, "magnitud": 17, "mai": [5, 15], "make": [2, 13, 15, 16, 18, 26], "mani": 5, "map": [2, 5, 11, 26], "mar": 8, "margin": 5, "mask": 5, "mask_img": 5, "mask_img_": 5, "masker": 5, "match": 8, "math": 20, "matplotlib": [2, 3, 4, 6, 26], "matplotlibdeprecationwarn": 4, "matrix": [2, 13, 15, 16, 17, 18, 19, 20, 21], "max": 6, "max_it": [15, 17, 23], "maximum": [3, 15, 17, 23], "mb": [2, 3, 4, 5, 6, 7, 27], "md": 5, "md5sum": 5, "mean": [4, 5, 17, 23, 25], "mean_img": 5, "mean_vim": 4, "measur": [15, 19], "median": [16, 17], "medic": [5, 11, 26], "meg": [17, 26], "meier": [12, 19], "meinshausen": [12, 19], "mem": [7, 27], "memori": [2, 3, 4, 5, 6, 13, 15, 16, 18, 19, 20], "messag": [13, 15, 16, 18, 19, 22], "method": [2, 5, 6, 8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 26], "methodologi": [6, 15, 26], "metric": [3, 4], "might": 5, "min": 5, "mind": [2, 26], "minimum": 19, "minu": [13, 16, 18, 22, 25], "minut": [2, 3, 4, 5, 6], "mlr": [6, 19], "model": [2, 5, 6, 8, 9, 10, 13, 15, 16, 17, 20, 26], "model_select": 4, "model_x_knockoff": 6, "moment": 25, "montanari": [15, 26], "more": [2, 5, 19], "mse": 4, "much": [2, 5], "multi": [17, 26], "multipl": [2, 5, 6, 13, 16, 18, 19, 22, 26], "multitasklassocv": 17, "multivariate_1d_simul": 3, "multivariate_simul": 2, "must": [8, 17], "mx": 6, "mx_select": 6, "n": [3, 6, 12], "n_bootstrap": [5, 6, 16, 19], "n_cluster": [2, 5, 6, 13, 16], "n_featur": [2, 3, 5, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25], "n_fold": 4, "n_iter": 12, "n_job": [2, 4, 5, 6, 8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24], "n_permut": [4, 5, 8, 10, 22], "n_sampl": [2, 3, 5, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "n_signal": 3, "n_split": 4, "n_subject": 6, "n_time": [13, 16, 17, 18], "n_x": [2, 5], "n_y": [2, 5], "n_z": 5, "name": 4, "naumann": [4, 8, 9], "nb": 6, "ncol": 3, "ndarrai": [11, 12, 13, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25], "nearbi": 2, "neccessari": 26, "necessari": 2, "need": 26, "neg": [13, 16, 18, 22, 25], "neighbor": [2, 5, 21], "neural": [4, 8, 9, 17, 26], "neurip": [4, 8, 9, 17, 26], "neuroimag": [5, 26], "new": [4, 26], "next": 5, "nguyen": [2, 5, 6, 13, 16, 19, 26], "nguyen20a": [6, 19], "nicolai": 19, "niftimask": 5, "nii": 5, "nilearn": 5, "nilearn_data": 5, "nitrc": 5, "nodewis": 15, "nois": [2, 3, 15, 17, 21, 23], "nomin": 3, "non": [3, 4, 6, 13, 15, 16, 18, 19, 22], "non_zero_index": 6, "none": [2, 5, 6, 8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25], "nonzero": 5, "norm": [4, 25], "normal": [6, 25], "notabl": [2, 5, 6, 15], "note": [2, 15], "notebook": [1, 2, 3, 4, 5, 6], "now": [2, 5, 26], "np": [2, 3, 4, 5, 6, 22, 24], "nrow": 3, "nsubject": 6, "number": [2, 3, 4, 5, 6, 8, 9, 10, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24], "numer": [13, 16, 18, 22, 25], "numpi": [2, 3, 4, 5, 6, 26], "nwith": 2, "object": [2, 13, 15, 16, 17, 18, 19, 23], "observ": [3, 6], "obtain": 5, "occur": 2, "octob": [4, 5, 11], "off": 2, "offer": 5, "offset": [19, 20], "oh": [4, 8, 9], "oj": 8, "one": [2, 4, 5, 12, 13, 16, 18, 22, 25], "one_minus_pv": [2, 5, 13, 16, 18, 25], "one_minus_pval_ada_svr": 5, "one_minus_pval_cdl": 5, "one_minus_pval_corr": [2, 13, 16, 18, 22], "one_minus_pval_corr_ridge_perm_test": 5, "one_minus_pval_corr_svr_perm_test": 5, "one_minus_pval_ecdl": 5, "one_minus_pval_std_svr": 5, "one_sided_pv": 12, "ones": 4, "onli": [2, 4, 5, 15, 16, 25, 26], "opiton": 25, "opt": 5, "optim": [2, 15, 17, 19, 20, 23, 26], "option": [11, 12, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25], "order": 17, "org": [5, 6, 8, 26], "origin": [2, 5, 13, 15, 16], "orign": 5, "orlean": 26, "other": [5, 15], "otherwis": [8, 15, 17, 22], "oup": 6, "our": 26, "out": [5, 9], "outcom": [3, 4], "output": [5, 13, 15, 16, 18, 19], "over": [5, 6], "p": [3, 5, 6, 12, 13, 15, 16, 18, 19, 22, 25, 26], "packag": [5, 26], "pan": [6, 20, 26], "panda": [4, 5], "paper": [4, 8, 9, 26], "paper_fil": [4, 8, 9], "parallel": [5, 8, 9, 10, 13, 18, 19], "paramet": [5, 6, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], "parametr": 5, "parcel": 5, "parralel": [15, 22], "partern": 5, "partit": [17, 23], "pass": [13, 16, 17, 18, 23], "patern": 5, "path": [13, 15, 16, 17, 18, 19, 23], "pattern": 5, "pd": [4, 5], "pdf": [4, 6, 8, 9], "percentil": 19, "perform": [2, 3, 4, 8, 9, 10], "perm": 5, "permut": [5, 8, 9, 10, 22, 26], "permutation_import": 4, "permutation_test": 5, "permutation_test_cv": 5, "permutationimport": 4, "peter": 19, "php": [5, 8], "pi": 4, "pi_importance_list": 4, "pi_pval": 4, "pi_vim_arr": 4, "pip": 26, "pleas": [2, 5], "plot": 6, "plot_2d_simulation_exampl": [2, 7, 26, 27], "plot_dcrt_exampl": [3, 7, 27], "plot_diabetes_variable_importance_exampl": [4, 7, 27], "plot_fmri_data_exampl": [5, 7, 26, 27], "plot_knockoff_aggreg": [6, 7, 27], "plot_map": 5, "plot_meg_data_exampl": 26, "plot_result": 6, "plot_stat_map": 5, "plt": [2, 3, 4, 6], "pmlr": [6, 19, 26], "posit": [3, 13, 16, 18, 22, 25], "possibl": 5, "potenti": 8, "power": [2, 3, 5, 6], "power_ev": 6, "power_mx": 6, "power_pv": 6, "powers_ev": 6, "powers_mx": 6, "powers_pv": 6, "pp": [5, 11, 26], "practic": 2, "precis": [2, 5], "precomput": 5, "predict": [2, 4, 5, 8, 9, 10], "predict_proba": [8, 9, 10], "preprint": [2, 13, 15, 16, 26], "preprocess_haxbi": 5, "prescal": 15, "present": [2, 5, 11], "preserv": 4, "press": [6, 19], "previou": 5, "previous": 5, "print": [3, 4, 13, 15, 16, 18, 19, 22], "problem": [2, 4, 5, 15, 26], "procedur": [6, 11, 12, 17, 18, 19, 20, 23], "proceed": [4, 6, 8, 9, 19, 26], "process": [2, 4, 6, 8, 9, 17, 19, 26], "produc": 5, "progress": [15, 19, 22], "project": 26, "projecteuclid": 26, "proport": 22, "provid": [2, 5, 8, 26], "pval": [2, 4, 5, 13, 16, 18, 19, 25], "pval_ada_svr": 5, "pval_cdl": 5, "pval_corr": [2, 13, 16, 18, 22], "pval_corr_ridge_perm_test": 5, "pval_corr_svr_perm_test": 5, "pval_ecdl": 5, "pval_from_cb": 2, "pval_from_scal": 5, "pval_std_svr": 5, "py": [2, 3, 4, 5, 6, 7, 26, 27], "pymvpa": 5, "pyplot": [2, 3, 4, 6], "pytest": 26, "python": [1, 2, 3, 4, 5, 6], "python3": 5, "qkad085": 6, "quantifi": 2, "quantil": [6, 12, 16, 19], "quit": [2, 5], "r": [3, 4, 15, 23, 26], "r2_score": 4, "radiu": 2, "randint": 6, "random": [1, 2, 4, 5, 6, 7, 8, 9, 10, 13, 16, 17, 19, 20, 23, 27], "random_st": [4, 6, 8, 9, 10, 19], "randomforest": 3, "rang": [2, 3, 4, 6, 15], "rate": [3, 6, 19, 20, 26], "rather": 5, "ratio": [3, 6], "ravel": 2, "rcond": 11, "rcparam": [3, 6], "read": 2, "read_csv": 5, "readabl": 5, "readm": 5, "real": 19, "realist": 5, "reason": [2, 5], "recommend": 2, "reconstruct": 4, "recov": [2, 5], "recoveri": [1, 7, 26, 27], "red": [4, 6], "reduc": [2, 5], "reduct": 2, "refer": [8, 9, 10, 11, 12, 13, 15, 16, 17, 19, 20, 23], "reflect": 4, "region": [2, 5, 15, 26], "regress": [2, 4, 12, 15, 17, 19, 23, 26], "regressor": 4, "regressor_list": 4, "regular": [5, 22, 24], "reid": 17, "relationship": [3, 4], "relax": [2, 13, 16, 26], "relev": [2, 3, 5, 26], "relu": 3, "remain": [4, 5], "remov": 4, "ren": 6, "repetit": 3, "report": 19, "repres": 2, "request": 6, "requir": [2, 8, 26], "resampl": 5, "research": [6, 15, 19, 26], "reshap": [2, 19], "reshaping_funct": 19, "residu": [4, 15, 17], "residual_method": 15, "respons": 20, "result": 6, "results_forest": 3, "results_lasso": 3, "return": [2, 4, 5, 6, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25], "rho": [3, 6, 21], "ridg": [4, 5], "ridgecv": 4, "right": 6, "rina": 6, "ritov": [15, 26], "rng": 6, "roi_siz": 2, "roi_size_extend": 2, "root_mean_squared_error": [4, 8, 9, 10], "rotat": 6, "rough": 2, "round": 2, "royal": [6, 15, 26], "rssb": 6, "run": [2, 3, 4, 5, 6, 8, 9, 10, 22, 24, 26], "rune": [13, 16, 18], "runner": [4, 5], "saenko": [4, 8, 9], "salmon": [2, 5, 13, 16, 17, 26], "same": [2, 16, 17], "sampl": [2, 4, 13, 16, 19, 21], "satisfi": 5, "scale": [5, 11, 15, 24], "scatter": 6, "scenario": [2, 3], "scheme": [4, 19, 20], "scikit": [8, 9, 10, 13, 16, 26], "scipi": [4, 26], "score": [4, 5, 19, 20, 22, 25], "score_proba": [8, 9, 10], "screen": 3, "script": 26, "sdp": [19, 20], "search": [22, 24], "second": [2, 3, 4, 5, 6], "section": 2, "see": [2, 4, 5, 8], "seed": [2, 3, 5, 6, 8, 9, 10, 13, 16, 17, 19, 20, 21, 22, 23], "seed_list": 6, "seem": [2, 5], "select": [2, 6, 19, 20, 26], "selected_cdl": 2, "selected_dl": 2, "selected_ecdl": 2, "self": 5, "sent": 19, "sep": 5, "seri": [6, 15, 26], "serv": [13, 16], "session": 5, "session_label": 5, "session_target": 5, "set": [2, 3, 4, 5, 8, 11, 22, 24, 26], "set_clim": 2, "set_tick": 4, "set_ticklabel": 4, "set_titl": [2, 3], "set_vis": 2, "set_xlabel": 4, "set_xticklabel": [3, 4], "set_ylabel": 4, "set_ylim": 3, "sever": [16, 26], "sf": 4, "sform": 5, "shape": [2, 4, 5, 11, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25], "short": 5, "shorter": 5, "shortli": 2, "should": [4, 5, 15], "show": [2, 3, 4, 5, 6], "shown": 5, "shrink": [19, 20], "shuffl": [4, 21, 22], "side": [12, 25], "sigma": [2, 21], "sigma_hat": 23, "signal": 3, "signific": [4, 5, 11], "significantli": 2, "sim_ind": 3, "similarli": 2, "simpl": 17, "simu_data": 6, "simul": [1, 7, 26, 27], "sinc": [2, 5, 13, 15, 16], "singh": [6, 19], "singl": [4, 8, 26], "single_run": 6, "singular": 11, "sinica": 23, "site": 5, "size": [2, 3, 6, 21], "skip": 2, "sklearn": [2, 4, 5, 6, 13, 16], "small": [2, 5, 11], "smaller": [2, 11, 15, 17, 23], "smooth": 2, "smooth_x": 2, "smoothing_fwhm": 5, "snr": 3, "so": 2, "societi": [6, 15, 26], "solut": [2, 4, 5, 16], "solv": 26, "some": [2, 5], "sourc": [1, 2, 3, 4, 5, 6, 17, 26], "space": [2, 4, 5], "spars": 19, "sparsifi": 26, "sparsiti": 6, "spatial": [2, 5, 13, 16, 26], "spatio": [17, 26], "sphinx": [1, 2, 3, 4, 5, 6], "sphinx_bootstrap_them": 26, "sphinx_galleri": 26, "split": 4, "springer": [5, 11, 26], "spuriou": 5, "squar": 2, "srt": 19, "stand": 5, "standard": [2, 4, 5, 11, 17, 19, 20, 21, 23, 24], "standardized_svr": 5, "stat": [4, 19, 20, 22], "stat_tool": [2, 5], "stationari": 17, "statist": [2, 3, 4, 5, 6, 8, 9, 11, 12, 13, 15, 16, 17, 18, 19, 20], "statistica": 23, "std": 4, "std_vim": 4, "stdout": 19, "step": [5, 13, 17, 18], "still": 2, "str": [13, 15, 16, 17, 18, 19, 20, 25], "strength": 22, "string": [13, 15, 16, 18, 19], "strobl": 4, "structur": [2, 5, 21, 26], "studi": 23, "sub": [2, 4], "subj2": 5, "subplot": [2, 3, 4], "subsampl": [13, 16], "subset": 4, "substitut": 4, "suitabl": 5, "sum": [2, 3], "summari": 2, "support": [1, 7, 21, 26, 27], "support_s": [3, 21], "surviv": [5, 12, 22], "svm": [5, 11], "svr": [5, 22, 24], "svr_permutation_test_infer": 5, "sylvain": [6, 19], "sym": 6, "system": [4, 8, 9, 17, 26], "t": [2, 4, 5, 8, 9, 13, 16, 26], "tab": 4, "tab10": 4, "tackl": 26, "take": [2, 5, 17], "tar": 5, "target": [2, 4, 5, 11, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24], "target_fw": 5, "task": [5, 17, 26], "techniqu": [2, 5], "tempor": [13, 16, 17, 18, 26], "termin": 26, "test": [1, 2, 5, 7, 13, 15, 16, 18, 19, 20, 22, 26, 27], "test_index": 4, "test_scor": 20, "text": 4, "than": [2, 5, 11, 15, 17, 19, 23], "thank": [2, 5], "thei": [4, 5], "them": 2, "theoret": [2, 5], "therefor": 4, "thi": [13, 15, 16, 17, 19, 23, 26], "thin": 2, "thirion": [2, 4, 5, 6, 8, 9, 13, 16, 17, 19, 26], "thoma": 4, "those": [2, 5], "thr_c": 2, "thr_nc": 2, "thre": 20, "three": 26, "thresh": 5, "threshold": [5, 19, 20], "through": [4, 8, 9, 26], "thu": [4, 5], "tibshirani": 23, "tick": 4, "tick_param": 2, "tight_layout": 2, "time": [2, 3, 4, 5, 6, 16, 17], "titl": [2, 4, 5, 6], "tm08647": 19, "to_numpi": 5, "toeplitz": 21, "tol": [15, 17, 23], "toler": [2, 5, 15, 17, 23], "too": 5, "top": 2, "total": [2, 3, 4, 5, 6, 7, 27], "toward": 4, "train_index": 4, "train_siz": [2, 13, 16], "translat": [2, 5], "tresh": 5, "true": [2, 3, 4, 5, 6, 15, 17, 19, 20, 21], "truli": 4, "try": 5, "tuan": [6, 19], "two": [2, 4, 5, 6, 13, 16, 17, 18], "type": [2, 3, 4, 5, 25], "typei_error": 3, "u": [5, 26], "uncertainti": 2, "uncompress": [5, 13, 16], "under": [4, 19], "underli": 25, "unecessari": 15, "uniqu": [4, 5], "unlik": 2, "unstabl": 6, "until": [15, 17, 23], "up": 18, "updat": [3, 6, 15, 17, 23], "upper": 15, "url": [4, 6, 8, 9, 19], "us": [1, 2, 5, 6, 7, 8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 27], "usa": 26, "usag": [2, 3, 4, 5, 6], "userwarn": [4, 5], "util": [5, 6], "v": [1, 5, 7, 27], "v119": [6, 19], "v38i10": 8, "val": [22, 24], "valid": [4, 8, 9, 17, 22, 23, 24, 26], "valu": [3, 5, 6, 11, 12, 13, 15, 16, 18, 19, 22, 24, 25], "van": [2, 15, 26], "vancouv": 26, "var": 4, "variabl": [1, 3, 6, 7, 8, 9, 19, 20, 26, 27], "varianc": 23, "variant": 4, "varoquaux": [5, 26], "vector": [2, 11, 13, 15, 16, 18, 19, 20, 21, 23, 24], "verbos": [3, 13, 15, 16, 18, 19, 20, 22], "veri": 5, "version": [4, 19, 26], "via": 26, "vienna": 26, "view": 8, "vim": 4, "visibl": 2, "visual": 5, "volum": [4, 6, 8, 9, 19], "voxel": 5, "w": 2, "wa": [2, 4], "walker": 17, "want": [5, 26], "ward": [2, 5, 13, 16], "warn": 5, "we": [2, 4, 5, 6, 13, 16, 18, 26], "wei": 15, "weight": [2, 5], "weight_map_2d_extend": 2, "when": [2, 4, 5, 15, 22], "where": [4, 5], "whether": [8, 9, 10, 19, 20], "which": [2, 4, 5, 17, 23], "while": 4, "white": [2, 21], "width": 4, "without": 2, "work": [4, 5, 26], "worker": [5, 19], "would": 26, "wrap": [5, 18], "www": 5, "x": [2, 3, 4, 5, 6, 11, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26], "x64": 5, "x_init": [2, 13, 16], "x_test": 4, "x_tild": 20, "x_train": 4, "xmax": 6, "xmin": 6, "xtick": 6, "y": [2, 3, 4, 5, 6, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26], "y_pred": 4, "y_test": 4, "y_train": 4, "y_true": 4, "yekuti": 19, "yingi": [6, 20], "ylabel": 6, "yoav": 19, "you": [2, 5, 15, 26], "yule": 17, "z": [5, 25], "zeilei": 4, "zero": [2, 6, 11, 13, 15, 16, 18, 19, 22, 25], "zhang": [2, 15, 26], "zhimei": 6, "zip": [1, 2, 3, 4, 5, 6], "zscore": [2, 5, 25], "zscore_from_pv": [2, 5], "zscore_img": 5, "zscore_threshold": 5, "zscore_threshold_clust": 5, "zscore_threshold_corr": 5, "zscore_threshold_no_clust": 5}, "titles": ["API Documentation", "Examples Gallery", "Support recovery on simulated data (2D)", "Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners", "Variable Importance on diabetes dataset", "Support recovery on fMRI data", "Knockoff aggregation on simulated data", "Computation times", "hidimstat.CPI", "hidimstat.LOCO", "hidimstat.PermutationImportance", "hidimstat.ada_svr", "hidimstat.aggregate_quantiles", "hidimstat.clustered_inference", "hidimstat.data_simulation", "hidimstat.desparsified_lasso", "hidimstat.ensemble_clustered_inference", "hidimstat.group_reid", "hidimstat.hd_inference", "hidimstat.knockoff_aggregation", "hidimstat.model_x_knockoff", "hidimstat.multivariate_1D_simulation", "hidimstat.permutation_test_cv", "hidimstat.reid", "hidimstat.standardized_svr", "hidimstat.zscore_from_pval", "HiDimStat: High-dimensional statistical inference tool for Python", "Computation times"], "titleterms": {"2d": 2, "ada_svr": 11, "aggreg": 6, "aggregate_quantil": 12, "algorithm": [2, 5], "analysi": [2, 5], "analyz": 4, "api": [0, 26], "baselien": 4, "baselin": 4, "build": 26, "choos": 2, "class": 0, "cluster": 5, "clustered_infer": 13, "comparison": 3, "comput": [2, 3, 4, 7, 27], "condit": 3, "cpi": [4, 8], "data": [2, 5, 6], "data_simul": 14, "dataset": [4, 5], "dcrt": 3, "defin": 4, "depend": 26, "desparsified_lasso": 15, "diabet": 4, "dimension": 26, "distil": 3, "document": [0, 26], "ensemble_clustered_infer": 16, "estim": [0, 2], "exampl": [1, 26], "featureagglomer": 5, "fetch": 5, "fit": 4, "fmri": 5, "forest": 3, "from": 4, "function": [0, 2, 4, 5], "galleri": 1, "gather": 5, "gener": 2, "given": 5, "group_reid": 17, "haxbi": 5, "hd_infer": 18, "hidimstat": [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], "high": 26, "import": [2, 3, 4, 5, 6], "infer": [2, 5, 26], "initi": 5, "instal": 26, "knockoff": 6, "knockoff_aggreg": 19, "lasso": 3, "learner": 3, "load": 4, "loco": [4, 9], "main": 26, "make": 5, "measur": 4, "method": 4, "model": 4, "model_x_knockoff": 20, "multivariate_1d_simul": 21, "need": [2, 3, 4, 5, 6], "object": 5, "other": 26, "p": 4, "paramet": 2, "perform": 5, "permut": 4, "permutation_test_cv": 22, "permutationimport": 10, "plot": [2, 3, 5], "preprocess": 5, "process": 3, "python": 26, "random": 3, "recoveri": [2, 5], "refer": [2, 4, 5, 6, 26], "reid": 23, "result": [2, 4, 5], "score": 2, "script": [2, 3, 4, 5, 6], "sever": [2, 5], "simul": [2, 6], "specif": 2, "standardized_svr": 24, "statist": 26, "subject": 5, "support": [2, 5], "test": 3, "thi": [2, 3, 4, 5, 6], "threshold": 2, "time": [7, 27], "tool": 26, "us": [3, 4, 26], "v": 3, "valu": 4, "variabl": 4, "z": 2, "zscore_from_pv": 25}})
\ No newline at end of file
+Search.setIndex({"alltitles": {"API": [[26, "api"]], "API Documentation": [[0, null]], "Analysis of the results": [[2, "analysis-of-the-results"], [5, "analysis-of-the-results"]], "Analyze the results": [[4, "analyze-the-results"]], "Build the documentation": [[26, "build-the-documentation"]], "Choosing inference parameters": [[2, "choosing-inference-parameters"]], "Classes": [[0, "classes"]], "Computation times": [[7, null], [27, null]], "Computing z-score thresholds for support estimation": [[2, "computing-z-score-thresholds-for-support-estimation"]], "Define a function to compute the p-value from importance values": [[4, "define-a-function-to-compute-the-p-value-from-importance-values"]], "Dependencies": [[26, "dependencies"]], "Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners": [[3, null]], "Documentation & Examples": [[26, "documentation-examples"]], "Estimators": [[0, "estimators"]], "Examples Gallery": [[1, null]], "Fit a baselien model on the diabetes dataset": [[4, "fit-a-baselien-model-on-the-diabetes-dataset"]], "Fit a baseline model on the diabetes dataset": [[4, "fit-a-baseline-model-on-the-diabetes-dataset"]], "Function to fetch and preprocess Haxby dataset": [[5, "function-to-fetch-and-preprocess-haxby-dataset"]], "Functions": [[0, "functions"]], "Gathering and preprocessing Haxby dataset for a given subject": [[5, "gathering-and-preprocessing-haxby-dataset-for-a-given-subject"]], "Generating the data": [[2, "generating-the-data"]], "HiDimStat: High-dimensional statistical inference tool for Python": [[26, null]], "Imports needed for this script": [[2, "imports-needed-for-this-script"], [3, "imports-needed-for-this-script"], [4, "imports-needed-for-this-script"], [5, "imports-needed-for-this-script"], [6, "imports-needed-for-this-script"]], "Inference with several algorithms": [[2, "inference-with-several-algorithms"]], "Initializing FeatureAgglomeration object that performs the clustering": [[5, "initializing-featureagglomeration-object-that-performs-the-clustering"]], "Installation": [[26, "installation"]], "Knockoff aggregation on simulated data": [[6, null]], "Load the diabetes dataset": [[4, "load-the-diabetes-dataset"]], "Main references": [[26, "main-references"]], "Making the inference with several algorithms": [[5, "making-the-inference-with-several-algorithms"]], "Measure the importance of variables using the CPI method": [[4, "measure-the-importance-of-variables-using-the-cpi-method"]], "Measure the importance of variables using the LOCO method": [[4, "measure-the-importance-of-variables-using-the-loco-method"]], "Measure the importance of variables using the permutation method": [[4, "measure-the-importance-of-variables-using-the-permutation-method"]], "Other useful references": [[26, "other-useful-references"]], "Plotting the comparison": [[3, "plotting-the-comparison"]], "Plotting the results": [[5, "plotting-the-results"]], "Processing the computations": [[3, "processing-the-computations"]], "References": [[2, "references"], [4, "references"], [5, "references"], [6, "references"], [26, "references"]], "Results": [[2, "results"]], "Specific plotting functions": [[2, "specific-plotting-functions"]], "Support recovery on fMRI data": [[5, null]], "Support recovery on simulated data (2D)": [[2, null]], "Variable Importance on diabetes dataset": [[4, null]], "hidimstat.CPI": [[8, null]], "hidimstat.LOCO": [[9, null]], "hidimstat.PermutationImportance": [[10, null]], "hidimstat.ada_svr": [[11, null]], "hidimstat.aggregate_quantiles": [[12, null]], "hidimstat.clustered_inference": [[13, null]], "hidimstat.data_simulation": [[14, null]], "hidimstat.desparsified_lasso": [[15, null]], "hidimstat.ensemble_clustered_inference": [[16, null]], "hidimstat.group_reid": [[17, null]], "hidimstat.hd_inference": [[18, null]], "hidimstat.knockoff_aggregation": [[19, null]], "hidimstat.model_x_knockoff": [[20, null]], "hidimstat.multivariate_1D_simulation": [[21, null]], "hidimstat.permutation_test_cv": [[22, null]], "hidimstat.reid": [[23, null]], "hidimstat.standardized_svr": [[24, null]], "hidimstat.zscore_from_pval": [[25, null]]}, "docnames": ["api", "auto_examples/index", "auto_examples/plot_2D_simulation_example", "auto_examples/plot_dcrt_example", "auto_examples/plot_diabetes_variable_importance_example", "auto_examples/plot_fmri_data_example", "auto_examples/plot_knockoff_aggregation", "auto_examples/sg_execution_times", "generated/hidimstat.CPI", "generated/hidimstat.LOCO", "generated/hidimstat.PermutationImportance", "generated/hidimstat.ada_svr", "generated/hidimstat.aggregate_quantiles", "generated/hidimstat.clustered_inference", "generated/hidimstat.data_simulation", "generated/hidimstat.desparsified_lasso", "generated/hidimstat.ensemble_clustered_inference", "generated/hidimstat.group_reid", "generated/hidimstat.hd_inference", "generated/hidimstat.knockoff_aggregation", "generated/hidimstat.model_x_knockoff", "generated/hidimstat.multivariate_1D_simulation", "generated/hidimstat.permutation_test_cv", "generated/hidimstat.reid", "generated/hidimstat.standardized_svr", "generated/hidimstat.zscore_from_pval", "index", "sg_execution_times"], "envversion": {"sphinx": 64, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9}, "filenames": ["api.rst", "auto_examples/index.rst", "auto_examples/plot_2D_simulation_example.rst", "auto_examples/plot_dcrt_example.rst", "auto_examples/plot_diabetes_variable_importance_example.rst", "auto_examples/plot_fmri_data_example.rst", "auto_examples/plot_knockoff_aggregation.rst", "auto_examples/sg_execution_times.rst", "generated/hidimstat.CPI.rst", "generated/hidimstat.LOCO.rst", "generated/hidimstat.PermutationImportance.rst", "generated/hidimstat.ada_svr.rst", "generated/hidimstat.aggregate_quantiles.rst", "generated/hidimstat.clustered_inference.rst", "generated/hidimstat.data_simulation.rst", "generated/hidimstat.desparsified_lasso.rst", "generated/hidimstat.ensemble_clustered_inference.rst", "generated/hidimstat.group_reid.rst", "generated/hidimstat.hd_inference.rst", "generated/hidimstat.knockoff_aggregation.rst", "generated/hidimstat.model_x_knockoff.rst", "generated/hidimstat.multivariate_1D_simulation.rst", "generated/hidimstat.permutation_test_cv.rst", "generated/hidimstat.reid.rst", "generated/hidimstat.standardized_svr.rst", "generated/hidimstat.zscore_from_pval.rst", "index.rst", "sg_execution_times.rst"], "indexentries": {"__init__() (hidimstat.cpi method)": [[8, "hidimstat.CPI.__init__", false]], "__init__() (hidimstat.loco method)": [[9, "hidimstat.LOCO.__init__", false]], "__init__() (hidimstat.permutationimportance method)": [[10, "hidimstat.PermutationImportance.__init__", false]], "ada_svr() (in module hidimstat)": [[11, "hidimstat.ada_svr", false]], "aggregate_quantiles() (in module hidimstat)": [[12, "hidimstat.aggregate_quantiles", false]], "clustered_inference() (in module hidimstat)": [[13, "hidimstat.clustered_inference", false]], "cpi (class in hidimstat)": [[8, "hidimstat.CPI", false]], "desparsified_lasso() (in module hidimstat)": [[15, "hidimstat.desparsified_lasso", false]], "ensemble_clustered_inference() (in module hidimstat)": [[16, "hidimstat.ensemble_clustered_inference", false]], "group_reid() (in module hidimstat)": [[17, "hidimstat.group_reid", false]], "hd_inference() (in module hidimstat)": [[18, "hidimstat.hd_inference", false]], "hidimstat.data_simulation": [[14, "module-hidimstat.data_simulation", false]], "knockoff_aggregation() (in module hidimstat)": [[19, "hidimstat.knockoff_aggregation", false]], "loco (class in hidimstat)": [[9, "hidimstat.LOCO", false]], "model_x_knockoff() (in module hidimstat)": [[20, "hidimstat.model_x_knockoff", false]], "module": [[14, "module-hidimstat.data_simulation", false]], "multivariate_1d_simulation() (in module hidimstat)": [[21, "hidimstat.multivariate_1D_simulation", false]], "permutation_test_cv() (in module hidimstat)": [[22, "hidimstat.permutation_test_cv", false]], "permutationimportance (class in hidimstat)": [[10, "hidimstat.PermutationImportance", false]], "reid() (in module hidimstat)": [[23, "hidimstat.reid", false]], "standardized_svr() (in module hidimstat)": [[24, "hidimstat.standardized_svr", false]], "zscore_from_pval() (in module hidimstat)": [[25, "hidimstat.zscore_from_pval", false]]}, "objects": {"hidimstat": [[8, 0, 1, "", "CPI"], [9, 0, 1, "", "LOCO"], [10, 0, 1, "", "PermutationImportance"], [11, 2, 1, "", "ada_svr"], [12, 2, 1, "", "aggregate_quantiles"], [13, 2, 1, "", "clustered_inference"], [14, 3, 0, "-", "data_simulation"], [15, 2, 1, "", "desparsified_lasso"], [16, 2, 1, "", "ensemble_clustered_inference"], [17, 2, 1, "", "group_reid"], [18, 2, 1, "", "hd_inference"], [19, 2, 1, "", "knockoff_aggregation"], [20, 2, 1, "", "model_x_knockoff"], [21, 2, 1, "", "multivariate_1D_simulation"], [22, 2, 1, "", "permutation_test_cv"], [23, 2, 1, "", "reid"], [24, 2, 1, "", "standardized_svr"], [25, 2, 1, "", "zscore_from_pval"]], "hidimstat.CPI": [[8, 1, 1, "", "__init__"]], "hidimstat.LOCO": [[9, 1, 1, "", "__init__"]], "hidimstat.PermutationImportance": [[10, 1, 1, "", "__init__"]]}, "objnames": {"0": ["py", "class", "Python class"], "1": ["py", "method", "Python method"], "2": ["py", "function", "Python function"], "3": ["py", "module", "Python module"]}, "objtypes": {"0": "py:class", "1": "py:method", "2": "py:function", "3": "py:module"}, "terms": {"": [2, 4, 8, 9, 15, 23, 26], "0": [2, 3, 4, 5, 6, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23], "00": [7, 22, 24, 27], "0001": [17, 23], "001": [11, 15], "006": [2, 7, 27], "01": [5, 6, 7, 15, 17, 22, 23, 24, 27], "01492149527525": 4, "02": [22, 24], "02351": 20, "02590": [2, 13, 16, 26], "03": [22, 24], "04": [22, 24], "048": [6, 7, 27], "05": [4, 6, 7, 19, 22, 24, 27], "06": [22, 24], "07": [7, 22, 24, 27], "08": [7, 19, 27], "08885": 15, "09": [6, 7, 27], "1": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27], "10": [2, 3, 4, 5, 6, 8, 19, 21, 26], "100": [2, 5, 21], "1000": [3, 22], "10000": [17, 23], "1010933404324": 4, "1013699998": 19, "1023": 4, "104": [12, 19], "105": [7, 27], "1093": 6, "11": [2, 4], "1111": 6, "11195": 8, "11203": 8, "1166": [15, 26], "117921": [5, 26], "1186": 4, "119": [6, 19, 26], "1198": 19, "12": [2, 5], "1202": [15, 26], "1214": [19, 26], "122": 6, "12265": 6, "13": [2, 6, 19], "133029888": 5, "13716": 15, "14": [2, 5], "1438606853": 26, "1471": 4, "15": [2, 3, 5, 15, 26], "151600911163946": 4, "154": 6, "16": [2, 5], "1609": 8, "1610": 20, "16596992": 5, "1671": [12, 19], "1681": [12, 19], "17": 2, "172138496": 5, "18": [2, 6, 19], "19": [2, 5], "1902": 15, "199": 5, "1d": [19, 20, 21], "1e": [4, 11, 15, 17, 23], "1e4": [17, 23], "2": [2, 3, 4, 5, 6, 8, 12, 15, 16, 17, 19, 23], "20": [2, 5, 6], "200": [2, 5], "2001": [4, 19], "2007": 15, "2008": 4, "2009": [12, 19], "2010": 5, "2012": [5, 11], "2014": [2, 15, 26], "2015": 26, "2016": 23, "2017": 20, "2018": [6, 26], "2019": 15, "2020": [6, 15, 17, 19, 26], "2021": [2, 5, 13, 16, 26], "2023": [4, 6, 8, 9, 26], "2024": [8, 26], "2055": 26, "2085": 26, "21": [2, 3], "2105": 4, "2106": [2, 13, 16, 26], "211009536": 5, "21600000000000003": 5, "217": [15, 26], "22": 2, "23": 2, "234": [5, 26], "24": 2, "242": [15, 26], "249": 4, "249634816": 5, "25": [5, 6, 16, 19], "26": [6, 7, 27], "26090648721779": 4, "265": 4, "2722061930940729": 4, "2869": [15, 26], "287948367546456": 4, "288653312": 5, "28997": 8, "29": 19, "2909": [15, 26], "291168628": 5, "2d": [1, 7, 20, 26, 27], "3": [2, 3, 4, 5, 6, 7, 11, 15, 16, 19, 26, 27], "307": 4, "308": 5, "3119253313517": 4, "32": [4, 5], "3266": [7, 27], "3267": 5, "33092885980301545": 4, "33374807702299": 4, "34": [5, 6, 7, 27], "34873505091371093": 4, "34h": 17, "34th": 26, "35": [5, 23], "352999936251216": 4, "35323376775815": 4, "36": [4, 8, 9], "3633702441001": 4, "36967014548640154": 4, "37th": [6, 19, 26], "38": 8, "38th": 26, "4": [2, 3, 4, 5, 15, 17, 23], "40": [2, 5], "42": [15, 26], "43": 26, "45": [4, 5, 6], "46114740610001137": 4, "46246416851449": 4, "47": 4, "479244269131684": 4, "48683083150894546": 4, "488": [12, 19], "49": [4, 5], "492": 5, "49274696": 6, "5": [2, 3, 4, 5, 6, 7, 15, 19, 26, 27], "50": [4, 5, 8, 10, 19], "500": [5, 6, 21], "5000": 15, "5048253747874585": 4, "51": 4, "52": 4, "5235794267120801": 4, "53": 4, "5316220308691071": 4, "5333394029342122": 4, "54": 4, "55": 4, "551": [6, 26], "5514585816057873": 4, "55353344": 5, "555": [4, 7, 27], "56": 4, "56629998": 6, "57429457038258": 4, "577": [6, 26], "58": 4, "5858181205553151": 4, "59": [4, 5], "5979566135054368": 4, "5e": 3, "6": [2, 3, 4, 5, 26], "61": 4, "625": [7, 27], "626": 4, "638": 26, "639": [3, 7, 27], "640": [3, 7, 27], "646": 26, "65": 6, "665318862395647": 4, "666537166030764": 4, "67": 23, "67662": [4, 8, 9], "67685": [4, 8, 9], "683": 5, "69518424561582": 4, "7": [2, 3, 4, 5, 6, 22, 24], "707": [7, 27], "708": 2, "72": 5, "723": [5, 11], "7236176985951": 4, "7283": [6, 19], "7293": [6, 19], "730": [5, 11], "7422256933791083": 5, "75372711094103": 4, "763": [6, 7, 27], "7868": 5, "8": [2, 3, 4, 5, 7, 27], "80": [6, 26], "85": 5, "855": [5, 7, 27], "86": 6, "9": [2, 3, 4, 7, 22, 24, 27], "94068736": 5, "95": 15, "99": 5, "A": [2, 4, 5, 6, 8, 9, 13, 15, 16, 17, 23, 26], "As": [2, 5, 26], "By": [5, 13, 15, 16, 18, 19], "For": [2, 5, 26], "If": [2, 8, 13, 15, 16, 17, 18, 19, 22, 26], "In": [2, 4, 5, 6, 8, 9, 11, 17, 19, 26], "It": 5, "On": [15, 26], "One": [9, 13, 16, 18, 22, 25], "Or": 26, "The": [2, 3, 4, 5, 8, 9, 10, 13, 15, 16, 17, 18, 19, 22, 23, 24, 26], "Then": [2, 15], "To": [2, 4, 5, 26], "_": [2, 3, 4, 5, 6], "_3": 6, "_551": 6, "_80": 6, "__": 3, "__init__": [8, 9, 10], "_coordinate_desc": 5, "_map_show": 5, "_slicer": 5, "aaai": [8, 26], "aarti": [6, 19], "about": [2, 26], "abov": 19, "academ": 6, "accept": 25, "accord": 5, "account": 2, "accur": [2, 13, 16, 18, 22, 25], "achim": 4, "activ": [2, 5], "ad": 5, "ada": 5, "ada_svr": 5, "adapt": [5, 12, 16, 19], "adaptive_aggreg": 19, "adaptive_permutation_threshold": 5, "add": [2, 5], "add_one_subplot": 2, "addit": [2, 5, 15, 21], "adjust": [5, 15], "advanc": [4, 8, 9, 26], "advantag": 2, "advoc": 5, "affect": 4, "aforement": 26, "after": [2, 4], "against": [15, 17], "aggreg": [1, 2, 5, 7, 12, 16, 19, 26, 27], "aggregated_ev": 19, "aggregated_ko_select": 6, "aggregated_pv": 19, "agnost": 4, "ahmad": [4, 8, 9], "aim": [2, 4, 5], "ako": 26, "al": [2, 4, 5, 6, 8, 9, 11, 19, 20], "alexi": [6, 19], "algorithm": [8, 9, 13, 16, 26], "all": [1, 5, 13, 15, 16, 19, 27], "allow": 5, "along": 19, "alpha": [3, 4, 6, 15], "alpha_max": [15, 17, 23], "alpha_max_fract": 15, "alpha_min": [17, 23], "alreadi": 5, "also": [2, 4, 5, 15, 17, 26], "alwai": 15, "american": [12, 19], "among": [2, 5], "an": [2, 4, 6], "anat": 5, "anatom": 5, "ani": [4, 5], "ann": [4, 19], "annal": [15, 26], "anoth": 5, "ao": [19, 26], "aos1337": 26, "append": [2, 3, 4, 6], "appli": [2, 3, 5, 19], "applic": [15, 26], "appreci": 26, "approach": 4, "approxim": 5, "ar": [2, 3, 4, 5, 11, 13, 15, 16, 17, 18, 19, 22, 23, 26], "arang": 4, "argu": 2, "argument": [13, 16, 18], "arlot": [6, 19, 26], "around": 5, "arrai": [4, 11, 15, 19, 20, 22, 23, 24], "articl": [6, 8, 26], "artifici": [8, 26], "arxiv": [2, 6, 13, 15, 16, 20, 26], "asarrai": 5, "assess": [4, 8, 9, 26], "assist": [5, 11, 26], "associ": [4, 6, 8, 9, 12, 19, 26], "assum": [5, 25], "astyp": 5, "asymptot": [15, 26], "augustin": 4, "austria": 26, "auto_exampl": 7, "auto_examples_jupyt": 1, "auto_examples_python": 1, "autoregress": 17, "avail": [2, 13, 15, 16, 18, 26], "averag": 2, "avoid": 15, "ax": [2, 3, 4], "axhlin": [3, 4], "axi": [2, 4], "b": [2, 5, 6, 11, 13, 15, 16, 17, 26], "back": 5, "backend": 5, "bar": 4, "barber": [6, 26], "base": [3, 4, 5, 11, 20], "been": [15, 26], "befor": [4, 13, 16, 18, 19, 20], "beforehand": 15, "behavior": 5, "being": [12, 16], "bellec": 15, "below": [2, 5], "benefit": [2, 5], "benjamini": 19, "berlin": [5, 11], "bertrand": [4, 6, 8, 9, 19], "best": 6, "beta": [2, 21], "beta_extend": 2, "beta_hat": [2, 5, 11, 13, 15, 16, 17, 18, 23, 24], "better": 5, "between": [2, 4, 5, 17, 21], "bg_img": 5, "bh": 19, "bhq": 19, "bhy": 19, "bias": [4, 15, 26], "binh": [6, 19], "bioinformat": 4, "bisect": 4, "bit": 2, "blue": 6, "bmc": 4, "bonferroni": [2, 5], "bool": [5, 8, 9, 10, 15, 17, 19, 20, 21], "bootstrap": 19, "both": [2, 4], "bottom": 2, "boulesteix": 4, "bound": [2, 6, 15], "boxplot": [3, 6], "brain": 5, "break": [2, 4, 21], "breiman": 4, "briefli": 2, "buid": 4, "build": [2, 5, 13, 16], "bunch": 5, "bypass": 4, "byte": 5, "b\u00fchlmann": [12, 15, 19, 26], "c": [2, 5, 6, 11, 15, 22, 24, 26], "cach": [13, 15, 16, 18, 19], "cal_fdp_pow": 6, "calcul": [19, 20], "call": [2, 5], "callabl": [8, 9, 10], "can": [2, 5, 6, 8, 26], "canada": 26, "cand": 20, "cand\u00e8": [6, 26], "carolin": 4, "case": [2, 4], "cb_max": [2, 15], "cb_min": [2, 15], "cc": [4, 8, 9], "cd": 26, "cd_fast": 5, "celentano": 15, "center": [15, 19, 20], "cf": [12, 15], "cham": 26, "chamma": [4, 8, 9, 26], "chang": 5, "check": [4, 5, 15, 17, 23], "check_random_st": 6, "chevali": [2, 5, 6, 13, 16, 17, 19, 26], "choic": [2, 5], "choos": 5, "chunk": 5, "citat": 26, "class": [8, 9, 10, 19], "classif": [5, 11, 19], "clip": 4, "clone": [4, 8, 26], "close": [2, 5, 13, 16, 18, 22, 25], "closer": 2, "cludl": [2, 5], "cluster": [2, 13, 16, 18, 19, 26], "clustered_infer": [2, 5], "cm": 4, "code": [1, 2, 3, 4, 5, 6, 15, 17, 23], "coeffici": [3, 6], "color": [3, 4, 6], "colormap": 4, "column": [4, 15], "com": [6, 26], "combin": 5, "command": 26, "compar": [2, 3, 4, 5], "comparison": [5, 11], "compat": [8, 9, 10], "compress": [2, 5, 13, 16], "comput": [5, 11, 12, 13, 15, 16, 18, 19, 22, 25, 26], "compute_pv": 4, "concat": 4, "concept": 2, "concern": 2, "concurr": 5, "condit": [1, 4, 5, 7, 8, 9, 26, 27], "condition_mask": 5, "confer": [4, 5, 6, 8, 9, 11, 17, 19, 26], "confid": [5, 15, 26], "connect": [2, 5], "consecut": 17, "conserv": [2, 5], "consid": [2, 5, 12, 15, 16, 17], "consider": 15, "consist": [2, 5], "constant": 17, "constrain": 6, "construct": [2, 19, 20], "construct_method": 19, "contain": [2, 4, 5, 15, 22, 24], "context": 26, "continu": [15, 17, 23], "contrast": 5, "contribut": 26, "control": [2, 4, 5, 6, 13, 16, 17, 19, 20, 23, 26], "converg": 5, "convergencewarn": 5, "corner": 2, "correct": [2, 5, 13, 16, 18, 22], "correction_clust": [2, 5], "correction_no_clust": 2, "correl": [2, 3, 4, 5, 6, 17, 19, 20, 21], "correspond": [2, 5, 19], "cortex": 5, "costli": 4, "cov_estim": [19, 20], "cov_hat": 17, "covari": [8, 9, 17, 19, 20], "covariate_estim": 4, "cpi_importance_list": 4, "cpi_pval": 4, "cpi_vim_arr": 4, "cpu": [13, 15, 16, 17, 18, 22, 23, 24], "creat": [2, 4, 5], "cross": [4, 17, 22, 23, 24], "cumul": 22, "curran": [4, 8, 9], "current": [2, 13, 15, 16, 18], "cut_coord": 5, "cutoff": 11, "cv": 5, "d": [2, 26], "d0crt": 3, "d60e14c19cd6e0fc38556ad29ac8fbc9": [4, 8, 9], "daniel": 19, "data": [1, 4, 7, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27], "data_simul": 6, "datafram": [4, 5], "dataset": [1, 2, 7, 26, 27], "daum\u00e9": [6, 19], "davatziko": [5, 11], "dcrt": [1, 7, 27], "dcrt_zero": 3, "de": [2, 15, 26], "deal": 2, "decemb": 20, "decod": [5, 26], "def": [2, 4, 5, 6], "def37a305edfda829916fa14c9ea08f8": 5, "default": [5, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25], "defin": [2, 19], "degre": [4, 15], "delta": 2, "demonstr": 4, "deni": [4, 8, 9], "depend": [2, 4, 5, 19], "deprec": 4, "derandom": 6, "derandomis": 6, "deriv": [2, 5, 11], "describ": [2, 6, 9], "design": [2, 15, 20, 21], "desir": [6, 19, 20], "desparsifi": [2, 5, 13, 15, 16, 17, 18, 26], "desparsified_lasso": 2, "destroi": 4, "detail": [2, 26], "determin": 22, "develop": 26, "deviat": [2, 11, 17, 21, 23, 24], "dezeur": [15, 26], "df_plot": 4, "diabet": [1, 7, 27], "diamet": 2, "did": 5, "differ": [2, 5, 8, 26], "dim": 5, "dimens": 2, "dimension": [2, 4, 5, 6, 8, 12, 13, 15, 16, 18, 19, 20], "directli": [4, 17], "directori": [13, 15, 16, 18, 19], "discimin": 5, "discov": 5, "discoveri": [2, 5, 6, 19, 20, 26], "discrimin": 5, "displai": 5, "distanc": 2, "distil": [1, 7, 27], "distrib": 25, "distribut": [5, 6, 22, 25], "divid": [2, 5], "do": [2, 5, 19, 20], "doc": 26, "doe": [2, 4, 5], "dof_ajdust": 15, "doi": [4, 6, 8, 19, 26], "done": [5, 13, 15, 16, 18, 19], "download": [1, 2, 3, 4, 5, 6, 26], "dramat": 2, "draw": 2, "drawback": 6, "drop": 4, "dual": [15, 17, 23], "dualiti": 5, "due": [2, 5], "dure": [13, 15, 17, 18, 22, 23, 24], "e": [2, 4, 5, 6, 19, 22, 24, 26], "each": [8, 15, 17, 26], "eas": [2, 4], "ebh": 19, "ecdl": 26, "edg": 2, "editor": [4, 6, 8, 9, 19], "eeg": [17, 26], "effect": [13, 16, 18, 22, 25], "either": 20, "elaps": 5, "els": [2, 5, 6], "emmanuel": [6, 20], "empir": [6, 19, 20], "empti": 5, "enabl": 2, "encludl": [2, 5], "end": [2, 3, 4, 5, 6], "enet_coordinate_descent_gram": 5, "enfold": 2, "engemann": [4, 8, 9, 26], "ensembl": [2, 5, 16, 26], "ensemble_clustered_infer": [2, 5], "ensembling_method": 16, "ensur": 15, "enumer": 4, "ep": [17, 23], "epsilon": 2, "equal": [2, 15, 22], "equi": [19, 20], "equival": [19, 20], "error": [2, 3, 23], "estim": [3, 4, 5, 6, 8, 9, 10, 11, 13, 15, 16, 17, 18, 19, 20, 23, 24, 25], "et": [2, 4, 5, 6, 8, 9, 11, 19, 20], "euclid": 26, "eval": 19, "eval_select": 6, "evalu": [8, 9, 10], "everi": [2, 13, 16, 17], "exampl": [2, 3, 4, 5, 6, 7, 27], "exclus": 4, "execut": [7, 27], "exhibit": [2, 6], "expect": 5, "experi": 2, "extract": 5, "f": [2, 3, 4, 5, 6, 26], "face": 5, "fake": 4, "fals": [2, 3, 5, 6, 8, 9, 10, 15, 19, 20, 26], "fan": [6, 20, 26], "fdp": 6, "fdp_eval": 6, "fdp_mx": 6, "fdp_pval": 6, "fdps_eval": 6, "fdps_mx": 6, "fdps_pval": 6, "fdr": [6, 19, 20], "fdr_control": 19, "feasibl": 2, "featur": [2, 5, 21], "feature_extract": [2, 5], "feature_nam": 4, "featureagglomer": [2, 13, 16], "fetch_haxbi": 5, "fig": [2, 3, 4], "figsiz": [2, 3, 6], "figur": 6, "file": [4, 5, 7, 8, 9, 27], "filter": 2, "final": [2, 5], "finish": 5, "first": [2, 5, 16], "fit_i": 17, "fit_transform": 5, "fix": [4, 19], "fixedloc": 4, "flatten": 2, "float": [11, 12, 13, 15, 16, 17, 19, 20, 21, 22, 23], "fmri": [1, 7, 26, 27], "fmri_filenam": 5, "fmri_mask": 5, "focu": 5, "fold": 4, "follow": [2, 4, 26], "font": [3, 6], "forest": [1, 4, 7, 27], "formal": 2, "formul": 5, "formula": [12, 16], "four": 2, "foygel": 6, "fr": 5, "fraction": [13, 16], "freedom": 15, "frequenc": [15, 19, 22], "friedman": 23, "from": [2, 3, 5, 6, 7, 15, 25, 26, 27], "full": [2, 3, 4, 5, 6], "func": 5, "function": [3, 8, 9, 10, 12, 13, 14, 16, 18, 19, 22, 26], "fwer": [2, 5], "fwer_target": 2, "g": [2, 5, 26], "galleri": [2, 3, 4, 5, 6, 27], "gamma": [6, 12, 16, 19], "gamma_min": [12, 16, 19], "gaonkar": [5, 11], "gap": [5, 15, 17, 23], "gaussian": [2, 5, 15, 20, 21], "geer": [2, 15, 26], "gener": [1, 3, 4, 5, 6, 13, 15, 16, 19, 20, 21], "get": 3, "get_cmap": 4, "get_fdata": 5, "get_xaxi": 2, "get_yaxi": 2, "git": 26, "github": [2, 26], "give": 17, "given": [4, 13, 15, 16, 17, 18, 19], "globerson": [4, 8, 9], "go": [2, 3, 4, 5, 6], "gold": [6, 20, 26], "good": 5, "gramfort": [17, 26], "greater": 2, "grid": [22, 24], "grid_to_graph": [2, 5], "ground": 5, "group": [2, 4, 5, 8, 11, 13, 16, 17, 18, 26], "guarante": [2, 5], "gz": 5, "h": [2, 15, 26], "ha": [2, 4, 5, 6, 15], "hal": [6, 19], "handl": 26, "hard": 5, "hardt": [4, 8, 9], "have": [2, 5, 17, 26], "haxbi": 26, "haxby2001": 5, "haxby_dataset": 5, "header": 5, "heidelberg": [5, 11], "here": [5, 26], "hidimstat": [2, 3, 4, 5, 6], "hierarch": [13, 16], "high": [2, 4, 5, 6, 8, 12, 13, 15, 16, 18, 19, 20], "higher": 2, "highli": 4, "histgradientboostingregressor": 4, "hline": 6, "hochberg": 19, "hold": 2, "home": [4, 5], "hostedtoolcach": 5, "hous": 5, "how": 26, "howev": [2, 4, 5], "html": [6, 19, 26], "http": [2, 4, 5, 6, 8, 9, 19, 26], "hyper": [2, 22, 24], "hypothesi": [15, 26], "i": [2, 3, 4, 5, 6, 8, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26], "idea": 2, "ideal": 26, "ie": [13, 16, 18, 22, 25], "iii": [6, 19], "iinfo": 6, "illustr": [2, 26], "im": [2, 5], "imag": [2, 5, 11, 17, 26], "img": 5, "impact": 4, "implement": [3, 19], "import": [1, 7, 8, 9, 26, 27], "imputation_model": [4, 8], "imshow": [2, 5], "inc": [4, 8, 9], "includ": [5, 19], "increas": [5, 15, 19, 22], "inde": 2, "index": [8, 19, 20], "infer": [6, 11, 13, 16, 18, 19, 20], "inference_method": 16, "infernec": 2, "influenc": 4, "inform": [4, 8, 9, 17, 26], "input": [4, 19], "input_data": 5, "inria": [2, 26], "instead": 4, "int": [8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "int32": 6, "integr": 4, "intellig": [8, 26], "intercept": 15, "interest": [4, 15], "intern": [5, 6, 11, 19, 26], "interv": [15, 26], "intervent": [5, 11, 26], "introduc": [2, 4, 5, 6, 19], "introduct": 5, "invers": [5, 22], "inverse_transform": 5, "io": [2, 26], "ipynb": [2, 3, 4, 5, 6], "isol": 5, "iter": [5, 15, 17, 19, 23], "its": [4, 5], "j": [2, 5, 13, 16, 17, 23, 26], "janson": [6, 20, 26], "jasa": 19, "javanmard": [2, 15, 26], "jerom": [6, 19], "jinchi": [6, 20], "job": [8, 9, 10], "joblib": [13, 15, 18, 19, 26], "joblib_verbos": 19, "joblib_versob": 19, "journal": [6, 12, 15, 19, 26], "jrsssb": 6, "jul": [6, 19], "juli": 4, "jupyt": [1, 2, 3, 4, 5, 6], "k": [2, 4, 8, 9], "kei": 3, "kf": 4, "kfold": [4, 17, 23], "kind": 26, "kneib": 4, "knockoff": [1, 7, 19, 20, 26, 27], "knockoff_aggreg": 6, "kwarg": [5, 13, 16, 18], "l": [4, 12, 26], "label": [4, 5, 6, 13, 16, 19], "labelbottom": 2, "labelleft": 2, "lack": 2, "largest": 2, "largest_singular_valu": 11, "lasso": [1, 2, 5, 7, 13, 15, 16, 17, 18, 23, 26, 27], "lasso_cv": [19, 20], "lassocv": [17, 23], "lastli": 2, "latest": 26, "laur": 4, "layout": 6, "lead": 2, "learn": [4, 6, 8, 9, 10, 13, 15, 16, 19, 26], "learner": [1, 7, 27], "leav": 9, "ledoit_wolf": [19, 20], "ledoitwolf": 19, "left": 2, "legend": [4, 6], "len": 6, "length": [8, 17, 23], "leo": 4, "less": 5, "let": 5, "level": [2, 4, 6, 8, 13, 15, 16, 18, 19, 20, 21, 22], "leverag": [2, 6], "levin": [4, 8, 9], "lib": 5, "like": 19, "limit": [2, 4], "line": 5, "linear": [2, 3, 13, 15, 16, 22, 24, 26], "linear_model": [4, 5], "linewidth": 3, "linkag": 2, "list": [8, 12, 19, 22, 24], "list_one_sided_pv": 12, "littl": 2, "load": 5, "load_diabet": 4, "loc": 6, "local": 26, "loco_importance_list": 4, "loco_pv": 4, "loco_vim_arr": 4, "log10": 4, "log_": 4, "logical_or": [2, 5], "logspac": [4, 22, 24], "lokybackend": 5, "look": 5, "loss": [4, 8, 9, 10], "low": [15, 26], "lower": [2, 15], "lowest": [12, 16], "luca": [6, 20], "luka": 19, "lv": [6, 20, 26], "m": [4, 8, 9, 15], "machin": [4, 6, 15, 19, 26], "made": 4, "magnitud": 17, "mai": [5, 15], "make": [2, 13, 15, 16, 18, 26], "mani": 5, "map": [2, 5, 11, 26], "mar": 8, "margin": 5, "mask": 5, "mask_img": 5, "mask_img_": 5, "masker": 5, "match": 8, "math": 20, "matplotlib": [2, 3, 4, 6, 26], "matplotlibdeprecationwarn": 4, "matrix": [2, 13, 15, 16, 17, 18, 19, 20, 21], "max": 6, "max_it": [15, 17, 23], "maximum": [3, 15, 17, 23], "mb": [2, 3, 4, 5, 6, 7, 27], "md": 5, "md5sum": 5, "mean": [4, 5, 17, 23, 25], "mean_img": 5, "mean_vim": 4, "measur": [15, 19], "median": [16, 17], "medic": [5, 11, 26], "meg": [17, 26], "meier": [12, 19], "meinshausen": [12, 19], "mem": [7, 27], "memori": [2, 3, 4, 5, 6, 13, 15, 16, 18, 19, 20], "messag": [13, 15, 16, 18, 19, 22], "method": [2, 5, 6, 8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 26], "methodologi": [6, 15, 26], "metric": [3, 4], "might": 5, "min": 5, "mind": [2, 26], "minimum": 19, "minu": [13, 16, 18, 22, 25], "minut": [2, 3, 4, 5, 6], "mlr": [6, 19], "model": [2, 5, 6, 8, 9, 10, 13, 15, 16, 17, 20, 26], "model_select": 4, "model_x_knockoff": 6, "moment": 25, "montanari": [15, 26], "more": [2, 5, 19], "mse": 4, "much": [2, 5], "multi": [17, 26], "multipl": [2, 5, 6, 13, 16, 18, 19, 22, 26], "multitasklassocv": 17, "multivariate_1d_simul": 3, "multivariate_simul": 2, "must": [8, 17], "mx": 6, "mx_select": 6, "n": [3, 6, 12], "n_bootstrap": [5, 6, 16, 19], "n_cluster": [2, 5, 6, 13, 16], "n_featur": [2, 3, 5, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25], "n_fold": 4, "n_iter": 12, "n_job": [2, 4, 5, 6, 8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24], "n_permut": [4, 5, 8, 10, 22], "n_sampl": [2, 3, 5, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "n_signal": 3, "n_split": 4, "n_subject": 6, "n_time": [13, 16, 17, 18], "n_x": [2, 5], "n_y": [2, 5], "n_z": 5, "name": 4, "naumann": [4, 8, 9], "nb": 6, "ncol": 3, "ndarrai": [11, 12, 13, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25], "nearbi": 2, "neccessari": 26, "necessari": 2, "need": 26, "neg": [13, 16, 18, 22, 25], "neighbor": [2, 5, 21], "neural": [4, 8, 9, 17, 26], "neurip": [4, 8, 9, 17, 26], "neuroimag": [5, 26], "new": [4, 26], "next": 5, "nguyen": [2, 5, 6, 13, 16, 19, 26], "nguyen20a": [6, 19], "nicolai": 19, "niftimask": 5, "nii": 5, "nilearn": 5, "nilearn_data": 5, "nitrc": 5, "nodewis": 15, "nois": [2, 3, 15, 17, 21, 23], "nomin": 3, "non": [3, 4, 6, 13, 15, 16, 18, 19, 22], "non_zero_index": 6, "none": [2, 5, 6, 8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25], "nonzero": 5, "norm": [4, 25], "normal": [6, 25], "notabl": [2, 5, 6, 15], "note": [2, 15], "notebook": [1, 2, 3, 4, 5, 6], "now": [2, 5, 26], "np": [2, 3, 4, 5, 6, 22, 24], "nrow": 3, "nsubject": 6, "number": [2, 3, 4, 5, 6, 8, 9, 10, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24], "numer": [13, 16, 18, 22, 25], "numpi": [2, 3, 4, 5, 6, 26], "nwith": 2, "object": [2, 13, 15, 16, 17, 18, 19, 23], "observ": [3, 6], "obtain": 5, "occur": 2, "octob": [4, 5, 11], "off": 2, "offer": 5, "offset": [19, 20], "oh": [4, 8, 9], "oj": 8, "one": [2, 4, 5, 12, 13, 16, 18, 22, 25], "one_minus_pv": [2, 5, 13, 16, 18, 25], "one_minus_pval_ada_svr": 5, "one_minus_pval_cdl": 5, "one_minus_pval_corr": [2, 13, 16, 18, 22], "one_minus_pval_corr_ridge_perm_test": 5, "one_minus_pval_corr_svr_perm_test": 5, "one_minus_pval_ecdl": 5, "one_minus_pval_std_svr": 5, "one_sided_pv": 12, "ones": 4, "onli": [2, 4, 5, 15, 16, 25, 26], "opiton": 25, "opt": 5, "optim": [2, 15, 17, 19, 20, 23, 26], "option": [11, 12, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25], "order": 17, "org": [5, 6, 8, 26], "origin": [2, 5, 13, 15, 16], "orign": 5, "orlean": 26, "other": [5, 15], "otherwis": [8, 15, 17, 22], "oup": 6, "our": 26, "out": [5, 9], "outcom": [3, 4], "output": [5, 13, 15, 16, 18, 19], "over": [5, 6], "p": [3, 5, 6, 12, 13, 15, 16, 18, 19, 22, 25, 26], "packag": [5, 26], "pan": [6, 20, 26], "panda": [4, 5], "paper": [4, 8, 9, 26], "paper_fil": [4, 8, 9], "parallel": [5, 8, 9, 10, 13, 18, 19], "paramet": [5, 6, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], "parametr": 5, "parcel": 5, "parralel": [15, 22], "partern": 5, "partit": [17, 23], "pass": [13, 16, 17, 18, 23], "patern": 5, "path": [13, 15, 16, 17, 18, 19, 23], "pattern": 5, "pd": [4, 5], "pdf": [4, 6, 8, 9], "percentil": 19, "perform": [2, 3, 4, 8, 9, 10], "perm": 5, "permut": [5, 8, 9, 10, 22, 26], "permutation_import": 4, "permutation_test": 5, "permutation_test_cv": 5, "permutationimport": 4, "peter": 19, "php": [5, 8], "pi": 4, "pi_importance_list": 4, "pi_pval": 4, "pi_vim_arr": 4, "pip": 26, "pleas": [2, 5], "plot": 6, "plot_2d_simulation_exampl": [2, 7, 26, 27], "plot_dcrt_exampl": [3, 7, 27], "plot_diabetes_variable_importance_exampl": [4, 7, 27], "plot_fmri_data_exampl": [5, 7, 26, 27], "plot_knockoff_aggreg": [6, 7, 27], "plot_map": 5, "plot_meg_data_exampl": 26, "plot_result": 6, "plot_stat_map": 5, "plt": [2, 3, 4, 6], "pmlr": [6, 19, 26], "posit": [3, 13, 16, 18, 22, 25], "possibl": 5, "potenti": 8, "power": [2, 3, 5, 6], "power_ev": 6, "power_mx": 6, "power_pv": 6, "powers_ev": 6, "powers_mx": 6, "powers_pv": 6, "pp": [5, 11, 26], "practic": 2, "precis": [2, 5], "precomput": 5, "predict": [2, 4, 5, 8, 9, 10], "predict_proba": [8, 9, 10], "preprint": [2, 13, 15, 16, 26], "preprocess_haxbi": 5, "prescal": 15, "present": [2, 5, 11], "preserv": 4, "press": [6, 19], "previou": 5, "previous": 5, "print": [3, 4, 13, 15, 16, 18, 19, 22], "problem": [2, 4, 5, 15, 26], "procedur": [6, 11, 12, 17, 18, 19, 20, 23], "proceed": [4, 6, 8, 9, 19, 26], "process": [2, 4, 6, 8, 9, 17, 19, 26], "produc": 5, "progress": [15, 19, 22], "project": 26, "projecteuclid": 26, "proport": 22, "provid": [2, 5, 8, 26], "pval": [2, 4, 5, 13, 16, 18, 19, 25], "pval_ada_svr": 5, "pval_cdl": 5, "pval_corr": [2, 13, 16, 18, 22], "pval_corr_ridge_perm_test": 5, "pval_corr_svr_perm_test": 5, "pval_ecdl": 5, "pval_from_cb": 2, "pval_from_scal": 5, "pval_std_svr": 5, "py": [2, 3, 4, 5, 6, 7, 26, 27], "pymvpa": 5, "pyplot": [2, 3, 4, 6], "pytest": 26, "python": [1, 2, 3, 4, 5, 6], "python3": 5, "qkad085": 6, "quantifi": 2, "quantil": [6, 12, 16, 19], "quit": [2, 5], "r": [3, 4, 15, 23, 26], "r2_score": 4, "radiu": 2, "randint": 6, "random": [1, 2, 4, 5, 6, 7, 8, 9, 10, 13, 16, 17, 19, 20, 23, 27], "random_st": [4, 6, 8, 9, 10, 19], "randomforest": 3, "rang": [2, 3, 4, 6, 15], "rate": [3, 6, 19, 20, 26], "rather": 5, "ratio": [3, 6], "ravel": 2, "rcond": 11, "rcparam": [3, 6], "read": 2, "read_csv": 5, "readabl": 5, "readm": 5, "real": 19, "realist": 5, "reason": [2, 5], "recommend": 2, "reconstruct": 4, "recov": [2, 5], "recoveri": [1, 7, 26, 27], "red": [4, 6], "reduc": [2, 5], "reduct": 2, "refer": [8, 9, 10, 11, 12, 13, 15, 16, 17, 19, 20, 23], "reflect": 4, "region": [2, 5, 15, 26], "regress": [2, 4, 12, 15, 17, 19, 23, 26], "regressor": 4, "regressor_list": 4, "regular": [5, 22, 24], "reid": 17, "relationship": [3, 4], "relax": [2, 13, 16, 26], "relev": [2, 3, 5, 26], "relu": 3, "remain": [4, 5], "remov": 4, "ren": 6, "repetit": 3, "report": 19, "repres": 2, "request": 6, "requir": [2, 8, 26], "resampl": 5, "research": [6, 15, 19, 26], "reshap": [2, 19], "reshaping_funct": 19, "residu": [4, 15, 17], "residual_method": 15, "respons": 20, "result": 6, "results_forest": 3, "results_lasso": 3, "return": [2, 4, 5, 6, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25], "rho": [3, 6, 21], "ridg": [4, 5], "ridgecv": 4, "right": 6, "rina": 6, "ritov": [15, 26], "rng": 6, "roi_siz": 2, "roi_size_extend": 2, "root_mean_squared_error": [4, 8, 9, 10], "rotat": 6, "rough": 2, "round": 2, "royal": [6, 15, 26], "rssb": 6, "run": [2, 3, 4, 5, 6, 8, 9, 10, 22, 24, 26], "rune": [13, 16, 18], "runner": [4, 5], "saenko": [4, 8, 9], "salmon": [2, 5, 13, 16, 17, 26], "same": [2, 16, 17], "sampl": [2, 4, 13, 16, 19, 21], "satisfi": 5, "scale": [5, 11, 15, 24], "scatter": 6, "scenario": [2, 3], "scheme": [4, 19, 20], "scikit": [8, 9, 10, 13, 16, 26], "scipi": [4, 26], "score": [4, 5, 19, 20, 22, 25], "score_proba": [8, 9, 10], "screen": 3, "script": 26, "sdp": [19, 20], "search": [22, 24], "second": [2, 3, 4, 5, 6], "section": 2, "see": [2, 4, 5, 8], "seed": [2, 3, 5, 6, 8, 9, 10, 13, 16, 17, 19, 20, 21, 22, 23], "seed_list": 6, "seem": [2, 5], "select": [2, 6, 19, 20, 26], "selected_cdl": 2, "selected_dl": 2, "selected_ecdl": 2, "self": 5, "sent": 19, "sep": 5, "seri": [6, 15, 26], "serv": [13, 16], "session": 5, "session_label": 5, "session_target": 5, "set": [2, 3, 4, 5, 8, 11, 22, 24, 26], "set_clim": 2, "set_tick": 4, "set_ticklabel": 4, "set_titl": [2, 3], "set_vis": 2, "set_xlabel": 4, "set_xticklabel": [3, 4], "set_ylabel": 4, "set_ylim": 3, "sever": [16, 26], "sf": 4, "sform": 5, "shape": [2, 4, 5, 11, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25], "short": 5, "shorter": 5, "shortli": 2, "should": [4, 5, 15], "show": [2, 3, 4, 5, 6], "shown": 5, "shrink": [19, 20], "shuffl": [4, 21, 22], "side": [12, 25], "sigma": [2, 21], "sigma_hat": 23, "signal": 3, "signific": [4, 5, 11], "significantli": 2, "sim_ind": 3, "similarli": 2, "simpl": 17, "simu_data": 6, "simul": [1, 7, 26, 27], "sinc": [2, 5, 13, 15, 16], "singh": [6, 19], "singl": [4, 8, 26], "single_run": 6, "singular": 11, "sinica": 23, "site": 5, "size": [2, 3, 6, 21], "skip": 2, "sklearn": [2, 4, 5, 6, 13, 16], "small": [2, 5, 11], "smaller": [2, 11, 15, 17, 23], "smooth": 2, "smooth_x": 2, "smoothing_fwhm": 5, "snr": 3, "so": 2, "societi": [6, 15, 26], "solut": [2, 4, 5, 16], "solv": 26, "some": [2, 5], "sourc": [1, 2, 3, 4, 5, 6, 17, 26], "space": [2, 4, 5], "spars": 19, "sparsifi": 26, "sparsiti": 6, "spatial": [2, 5, 13, 16, 26], "spatio": [17, 26], "sphinx": [1, 2, 3, 4, 5, 6], "sphinx_bootstrap_them": 26, "sphinx_galleri": 26, "split": 4, "springer": [5, 11, 26], "spuriou": 5, "squar": 2, "srt": 19, "stand": 5, "standard": [2, 4, 5, 11, 17, 19, 20, 21, 23, 24], "standardized_svr": 5, "stat": [4, 19, 20, 22], "stat_tool": [2, 5], "stationari": 17, "statist": [2, 3, 4, 5, 6, 8, 9, 11, 12, 13, 15, 16, 17, 18, 19, 20], "statistica": 23, "std": 4, "std_vim": 4, "stdout": 19, "step": [5, 13, 17, 18], "still": 2, "str": [13, 15, 16, 17, 18, 19, 20, 25], "strength": 22, "string": [13, 15, 16, 18, 19], "strobl": 4, "structur": [2, 5, 21, 26], "studi": 23, "sub": [2, 4], "subj2": 5, "subplot": [2, 3, 4], "subsampl": [13, 16], "subset": 4, "substitut": 4, "suitabl": 5, "sum": [2, 3], "summari": 2, "support": [1, 7, 21, 26, 27], "support_s": [3, 21], "surviv": [5, 12, 22], "svm": [5, 11], "svr": [5, 22, 24], "svr_permutation_test_infer": 5, "sylvain": [6, 19], "sym": 6, "system": [4, 8, 9, 17, 26], "t": [2, 4, 5, 8, 9, 13, 16, 26], "tab": 4, "tab10": 4, "tackl": 26, "take": [2, 5, 17], "tar": 5, "target": [2, 4, 5, 11, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24], "target_fw": 5, "task": [5, 17, 26], "techniqu": [2, 5], "tempor": [13, 16, 17, 18, 26], "termin": 26, "test": [1, 2, 5, 7, 13, 15, 16, 18, 19, 20, 22, 26, 27], "test_index": 4, "test_scor": 20, "text": 4, "than": [2, 5, 11, 15, 17, 19, 23], "thank": [2, 5], "thei": [4, 5], "them": 2, "theoret": [2, 5], "therefor": 4, "thi": [13, 15, 16, 17, 19, 23, 26], "thin": 2, "thirion": [2, 4, 5, 6, 8, 9, 13, 16, 17, 19, 26], "thoma": 4, "those": [2, 5], "thr_c": 2, "thr_nc": 2, "thre": 20, "three": 26, "thresh": 5, "threshold": [5, 19, 20], "through": [4, 8, 9, 26], "thu": [4, 5], "tibshirani": 23, "tick": 4, "tick_param": 2, "tight_layout": 2, "time": [2, 3, 4, 5, 6, 16, 17], "titl": [2, 4, 5, 6], "tm08647": 19, "to_numpi": 5, "toeplitz": 21, "tol": [15, 17, 23], "toler": [2, 5, 15, 17, 23], "too": 5, "top": 2, "total": [2, 3, 4, 5, 6, 7, 27], "toward": 4, "train_index": 4, "train_siz": [2, 13, 16], "translat": [2, 5], "tresh": 5, "true": [2, 3, 4, 5, 6, 15, 17, 19, 20, 21], "truli": 4, "try": 5, "tuan": [6, 19], "two": [2, 4, 5, 6, 13, 16, 17, 18], "type": [2, 3, 4, 5, 25], "typei_error": 3, "u": [5, 26], "uncertainti": 2, "uncompress": [5, 13, 16], "under": [4, 19], "underli": 25, "unecessari": 15, "uniqu": [4, 5], "unlik": 2, "unstabl": 6, "until": [15, 17, 23], "up": 18, "updat": [3, 6, 15, 17, 23], "upper": 15, "url": [4, 6, 8, 9, 19], "us": [1, 2, 5, 6, 7, 8, 9, 10, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 27], "usa": 26, "usag": [2, 3, 4, 5, 6], "userwarn": [4, 5], "util": [5, 6], "v": [1, 5, 7, 27], "v119": [6, 19], "v38i10": 8, "val": [22, 24], "valid": [4, 8, 9, 17, 22, 23, 24, 26], "valu": [3, 5, 6, 11, 12, 13, 15, 16, 18, 19, 22, 24, 25], "van": [2, 15, 26], "vancouv": 26, "var": 4, "variabl": [1, 3, 6, 7, 8, 9, 19, 20, 26, 27], "varianc": 23, "variant": 4, "varoquaux": [5, 26], "vector": [2, 11, 13, 15, 16, 18, 19, 20, 21, 23, 24], "verbos": [3, 13, 15, 16, 18, 19, 20, 22], "veri": 5, "version": [4, 19, 26], "via": 26, "vienna": 26, "view": 8, "vim": 4, "visibl": 2, "visual": 5, "volum": [4, 6, 8, 9, 19], "voxel": 5, "w": 2, "wa": [2, 4], "walker": 17, "want": [5, 26], "ward": [2, 5, 13, 16], "warn": 5, "we": [2, 4, 5, 6, 13, 16, 18, 26], "wei": 15, "weight": [2, 5], "weight_map_2d_extend": 2, "when": [2, 4, 5, 15, 22], "where": [4, 5], "whether": [8, 9, 10, 19, 20], "which": [2, 4, 5, 17, 23], "while": 4, "white": [2, 21], "width": 4, "without": 2, "work": [4, 5, 26], "worker": [5, 19], "would": 26, "wrap": [5, 18], "www": 5, "x": [2, 3, 4, 5, 6, 11, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26], "x64": 5, "x_init": [2, 13, 16], "x_test": 4, "x_tild": 20, "x_train": 4, "xmax": 6, "xmin": 6, "xtick": 6, "y": [2, 3, 4, 5, 6, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26], "y_pred": 4, "y_test": 4, "y_train": 4, "y_true": 4, "yekuti": 19, "yingi": [6, 20], "ylabel": 6, "yoav": 19, "you": [2, 5, 15, 26], "yule": 17, "z": [5, 25], "zeilei": 4, "zero": [2, 6, 11, 13, 15, 16, 18, 19, 22, 25], "zhang": [2, 15, 26], "zhimei": 6, "zip": [1, 2, 3, 4, 5, 6], "zscore": [2, 5, 25], "zscore_from_pv": [2, 5], "zscore_img": 5, "zscore_threshold": 5, "zscore_threshold_clust": 5, "zscore_threshold_corr": 5, "zscore_threshold_no_clust": 5}, "titles": ["API Documentation", "Examples Gallery", "Support recovery on simulated data (2D)", "Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners", "Variable Importance on diabetes dataset", "Support recovery on fMRI data", "Knockoff aggregation on simulated data", "Computation times", "hidimstat.CPI", "hidimstat.LOCO", "hidimstat.PermutationImportance", "hidimstat.ada_svr", "hidimstat.aggregate_quantiles", "hidimstat.clustered_inference", "hidimstat.data_simulation", "hidimstat.desparsified_lasso", "hidimstat.ensemble_clustered_inference", "hidimstat.group_reid", "hidimstat.hd_inference", "hidimstat.knockoff_aggregation", "hidimstat.model_x_knockoff", "hidimstat.multivariate_1D_simulation", "hidimstat.permutation_test_cv", "hidimstat.reid", "hidimstat.standardized_svr", "hidimstat.zscore_from_pval", "HiDimStat: High-dimensional statistical inference tool for Python", "Computation times"], "titleterms": {"2d": 2, "ada_svr": 11, "aggreg": 6, "aggregate_quantil": 12, "algorithm": [2, 5], "analysi": [2, 5], "analyz": 4, "api": [0, 26], "baselien": 4, "baselin": 4, "build": 26, "choos": 2, "class": 0, "cluster": 5, "clustered_infer": 13, "comparison": 3, "comput": [2, 3, 4, 7, 27], "condit": 3, "cpi": [4, 8], "data": [2, 5, 6], "data_simul": 14, "dataset": [4, 5], "dcrt": 3, "defin": 4, "depend": 26, "desparsified_lasso": 15, "diabet": 4, "dimension": 26, "distil": 3, "document": [0, 26], "ensemble_clustered_infer": 16, "estim": [0, 2], "exampl": [1, 26], "featureagglomer": 5, "fetch": 5, "fit": 4, "fmri": 5, "forest": 3, "from": 4, "function": [0, 2, 4, 5], "galleri": 1, "gather": 5, "gener": 2, "given": 5, "group_reid": 17, "haxbi": 5, "hd_infer": 18, "hidimstat": [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], "high": 26, "import": [2, 3, 4, 5, 6], "infer": [2, 5, 26], "initi": 5, "instal": 26, "knockoff": 6, "knockoff_aggreg": 19, "lasso": 3, "learner": 3, "load": 4, "loco": [4, 9], "main": 26, "make": 5, "measur": 4, "method": 4, "model": 4, "model_x_knockoff": 20, "multivariate_1d_simul": 21, "need": [2, 3, 4, 5, 6], "object": 5, "other": 26, "p": 4, "paramet": 2, "perform": 5, "permut": 4, "permutation_test_cv": 22, "permutationimport": 10, "plot": [2, 3, 5], "preprocess": 5, "process": 3, "python": 26, "random": 3, "recoveri": [2, 5], "refer": [2, 4, 5, 6, 26], "reid": 23, "result": [2, 4, 5], "score": 2, "script": [2, 3, 4, 5, 6], "sever": [2, 5], "simul": [2, 6], "specif": 2, "standardized_svr": 24, "statist": 26, "subject": 5, "support": [2, 5], "test": 3, "thi": [2, 3, 4, 5, 6], "threshold": 2, "time": [7, 27], "tool": 26, "us": [3, 4, 26], "v": 3, "valu": 4, "variabl": 4, "z": 2, "zscore_from_pv": 25}})
\ No newline at end of file
diff --git a/docs/sg_execution_times.html b/docs/sg_execution_times.html
index e044d52..22ef6af 100644
--- a/docs/sg_execution_times.html
+++ b/docs/sg_execution_times.html
@@ -110,7 +110,7 @@
       
   <section id="computation-times">
 <span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>08:58.109</strong> total execution time for 5 files <strong>from all galleries</strong>:</p>
+<p><strong>09:26.105</strong> total execution time for 5 files <strong>from all galleries</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -132,24 +132,24 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/plot_knockoff_aggregation.html#sphx-glr-auto-examples-plot-knockoff-aggregation-py"><span class="std std-ref">Knockoff aggregation on simulated data</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/plot_knockoff_aggregation.py</span></code>)</p></td>
-<td><p>05:23.029</p></td>
-<td><p>752.0</p></td>
+<td><p>05:34.048</p></td>
+<td><p>763.3</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/plot_fmri_data_example.html#sphx-glr-auto-examples-plot-fmri-data-example-py"><span class="std std-ref">Support recovery on fMRI data</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/plot_fmri_data_example.py</span></code>)</p></td>
-<td><p>01:22.789</p></td>
-<td><p>3157.1</p></td>
+<td><p>01:34.855</p></td>
+<td><p>3266.9</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/plot_2D_simulation_example.html#sphx-glr-auto-examples-plot-2d-simulation-example-py"><span class="std std-ref">Support recovery on simulated data (2D)</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/plot_2D_simulation_example.py</span></code>)</p></td>
-<td><p>01:03.161</p></td>
-<td><p>691.2</p></td>
+<td><p>01:07.006</p></td>
+<td><p>707.8</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/plot_dcrt_example.html#sphx-glr-auto-examples-plot-dcrt-example-py"><span class="std std-ref">Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/plot_dcrt_example.py</span></code>)</p></td>
-<td><p>01:01.529</p></td>
-<td><p>622.9</p></td>
+<td><p>01:01.639</p></td>
+<td><p>640.1</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/plot_diabetes_variable_importance_example.html#sphx-glr-auto-examples-plot-diabetes-variable-importance-example-py"><span class="std std-ref">Variable Importance on diabetes dataset</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/plot_diabetes_variable_importance_example.py</span></code>)</p></td>
-<td><p>00:07.601</p></td>
-<td><p>608.7</p></td>
+<td><p>00:08.555</p></td>
+<td><p>625.5</p></td>
 </tr>
 </tbody>
 </table>