From 68e2d2ded79ea77bd419e20c01ca71046e085851 Mon Sep 17 00:00:00 2001
From: GitHub actions <actions@github.com>
Date: Wed, 10 Jul 2024 14:24:58 +0000
Subject: [PATCH] Update documentation

---
 .../auto_examples_python.zip                  | Bin 30140 -> 30172 bytes
 .../auto_examples_jupyter.zip                 | Bin 37843 -> 37875 bytes
 ...t_diabetes_variable_importance_example.py} |  12 +++---
 ...iabetes_variable_importance_example.ipynb} |   4 +-
 ...betes_variable_importance_example_001.png} | Bin
 ...tes_variable_importance_example_thumb.png} | Bin
 .../sphx_glr_plot_fmri_data_example_001.png   | Bin 184131 -> 184129 bytes
 .../sphx_glr_plot_fmri_data_example_thumb.png | Bin 15900 -> 15900 bytes
 docs/_sources/auto_examples/index.rst.txt     |   6 +--
 .../plot_2D_simulation_example.rst.txt        |   4 +-
 ...betes_variable_importance_example.rst.txt} |  34 ++++++++--------
 .../plot_fmri_data_example.rst.txt            |   8 ++--
 .../auto_examples/sg_execution_times.rst.txt  |  16 ++++----
 docs/_sources/sg_execution_times.rst.txt      |  16 ++++----
 docs/api.html                                 |   6 +--
 docs/auto_examples/index.html                 |   8 ++--
 .../plot_2D_simulation_example.html           |   8 ++--
 ...diabetes_variable_importance_example.html} |  32 +++++++--------
 .../auto_examples/plot_fmri_data_example.html |  19 +++++----
 docs/auto_examples/sg_execution_times.html    |  20 +++++-----
 .../hidimstat.BlockBasedImportance.html       |  37 +++++++++---------
 docs/generated/hidimstat.ada_svr.html         |   4 +-
 .../hidimstat.aggregate_quantiles.html        |   4 +-
 .../hidimstat.clustered_inference.html        |   4 +-
 .../hidimstat.desparsified_lasso.html         |   4 +-
 ...idimstat.ensemble_clustered_inference.html |   4 +-
 docs/generated/hidimstat.group_reid.html      |   4 +-
 docs/generated/hidimstat.hd_inference.html    |   4 +-
 .../hidimstat.multivariate_1D_simulation.html |   4 +-
 .../hidimstat.permutation_test_cv.html        |   4 +-
 docs/generated/hidimstat.reid.html            |   4 +-
 .../generated/hidimstat.standardized_svr.html |   4 +-
 .../generated/hidimstat.zscore_from_pval.html |   4 +-
 docs/genindex.html                            |   4 +-
 docs/index.html                               |   4 +-
 docs/objects.inv                              | Bin 1188 -> 1183 bytes
 docs/search.html                              |   4 +-
 docs/searchindex.js                           |   2 +-
 docs/sg_execution_times.html                  |  20 +++++-----
 39 files changed, 159 insertions(+), 153 deletions(-)
 rename docs/_downloads/{205fc01252fa85326bc85c58c2e96a08/plot_diabetesFeatures_importance_example.py => 6f624092537330c9f373c01828b2b9ae/plot_diabetes_variable_importance_example.py} (94%)
 rename docs/_downloads/{6352d1acfa60f2083a9b7a62b5203e91/plot_diabetesFeatures_importance_example.ipynb => a70e28075a283d5e3fe675ced733c459/plot_diabetes_variable_importance_example.ipynb} (78%)
 rename docs/_images/{sphx_glr_plot_diabetesFeatures_importance_example_001.png => sphx_glr_plot_diabetes_variable_importance_example_001.png} (100%)
 rename docs/_images/{sphx_glr_plot_diabetesFeatures_importance_example_thumb.png => sphx_glr_plot_diabetes_variable_importance_example_thumb.png} (100%)
 rename docs/_sources/auto_examples/{plot_diabetesFeatures_importance_example.rst.txt => plot_diabetes_variable_importance_example.rst.txt} (80%)
 rename docs/auto_examples/{plot_diabetesFeatures_importance_example.html => plot_diabetes_variable_importance_example.html} (93%)

diff --git a/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
index 7c9ff31e58183be1ce4d51d909ad042714d86ecc..e741989b347b5f4965d71a43591e97f01dfdf1c1 100644
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diff --git a/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
index 9f4ffb24d9a4c947ef2e3635917ddaa13f1ccacc..e245e40c9a2730d5248cff514528fcc5550a9f0a 100644
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diff --git a/docs/_downloads/205fc01252fa85326bc85c58c2e96a08/plot_diabetesFeatures_importance_example.py b/docs/_downloads/6f624092537330c9f373c01828b2b9ae/plot_diabetes_variable_importance_example.py
similarity index 94%
rename from docs/_downloads/205fc01252fa85326bc85c58c2e96a08/plot_diabetesFeatures_importance_example.py
rename to docs/_downloads/6f624092537330c9f373c01828b2b9ae/plot_diabetes_variable_importance_example.py
index 8ba86de..29cf767 100644
--- a/docs/_downloads/205fc01252fa85326bc85c58c2e96a08/plot_diabetesFeatures_importance_example.py
+++ b/docs/_downloads/6f624092537330c9f373c01828b2b9ae/plot_diabetes_variable_importance_example.py
@@ -35,11 +35,11 @@
 bbi_perm = BlockBasedImportance(
     estimator="RF",
     importance_estimator="Mod_RF",
-    do_hyper=True,
-    dict_hyper=None,
+    do_hypertuning=True,
+    dict_hypertuning=None,
     conditional=False,
     group_stacking=False,
-    prob_type="regression",
+    problem_type="regression",
     k_fold=k_fold,
     list_nominal=list_nominal,
     n_jobs=10,
@@ -58,11 +58,11 @@
 bbi_cond = BlockBasedImportance(
     estimator="RF",
     importance_estimator="Mod_RF",
-    do_hyper=True,
-    dict_hyper=None,
+    do_hypertuning=True,
+    dict_hypertuning=None,
     conditional=True,
     group_stacking=False,
-    prob_type="regression",
+    problem_type="regression",
     k_fold=k_fold,
     list_nominal=list_nominal,
     n_jobs=10,
diff --git a/docs/_downloads/6352d1acfa60f2083a9b7a62b5203e91/plot_diabetesFeatures_importance_example.ipynb b/docs/_downloads/a70e28075a283d5e3fe675ced733c459/plot_diabetes_variable_importance_example.ipynb
similarity index 78%
rename from docs/_downloads/6352d1acfa60f2083a9b7a62b5203e91/plot_diabetesFeatures_importance_example.ipynb
rename to docs/_downloads/a70e28075a283d5e3fe675ced733c459/plot_diabetes_variable_importance_example.ipynb
index 8a0f7fc..7ba0b86 100644
--- a/docs/_downloads/6352d1acfa60f2083a9b7a62b5203e91/plot_diabetesFeatures_importance_example.ipynb
+++ b/docs/_downloads/a70e28075a283d5e3fe675ced733c459/plot_diabetes_variable_importance_example.ipynb
@@ -40,7 +40,7 @@
       },
       "outputs": [],
       "source": [
-        "bbi_perm = BlockBasedImportance(\n    estimator=\"RF\",\n    importance_estimator=\"Mod_RF\",\n    do_hyper=True,\n    dict_hyper=None,\n    conditional=False,\n    group_stacking=False,\n    prob_type=\"regression\",\n    k_fold=k_fold,\n    list_nominal=list_nominal,\n    n_jobs=10,\n    verbose=0,\n    n_perm=100,\n)\nbbi_perm.fit(X, y)\nprint(\"Computing the importance scores with standard permutation\")\nresults_perm = bbi_perm.compute_importance()\npvals_perm = -np.log10(results_perm[\"pval\"] + 1e-10)"
+        "bbi_perm = BlockBasedImportance(\n    estimator=\"RF\",\n    importance_estimator=\"Mod_RF\",\n    do_hypertuning=True,\n    dict_hypertuning=None,\n    conditional=False,\n    group_stacking=False,\n    problem_type=\"regression\",\n    k_fold=k_fold,\n    list_nominal=list_nominal,\n    n_jobs=10,\n    verbose=0,\n    n_perm=100,\n)\nbbi_perm.fit(X, y)\nprint(\"Computing the importance scores with standard permutation\")\nresults_perm = bbi_perm.compute_importance()\npvals_perm = -np.log10(results_perm[\"pval\"] + 1e-10)"
       ]
     },
     {
@@ -58,7 +58,7 @@
       },
       "outputs": [],
       "source": [
-        "bbi_cond = BlockBasedImportance(\n    estimator=\"RF\",\n    importance_estimator=\"Mod_RF\",\n    do_hyper=True,\n    dict_hyper=None,\n    conditional=True,\n    group_stacking=False,\n    prob_type=\"regression\",\n    k_fold=k_fold,\n    list_nominal=list_nominal,\n    n_jobs=10,\n    verbose=0,\n    n_perm=100,\n)\nbbi_cond.fit(X, y)\nprint(\"Computing the importance scores with conditional permutation\")\nresults_cond = bbi_cond.compute_importance()\npvals_cond = -np.log10(results_cond[\"pval\"] + 1e-5)"
+        "bbi_cond = BlockBasedImportance(\n    estimator=\"RF\",\n    importance_estimator=\"Mod_RF\",\n    do_hypertuning=True,\n    dict_hypertuning=None,\n    conditional=True,\n    group_stacking=False,\n    problem_type=\"regression\",\n    k_fold=k_fold,\n    list_nominal=list_nominal,\n    n_jobs=10,\n    verbose=0,\n    n_perm=100,\n)\nbbi_cond.fit(X, y)\nprint(\"Computing the importance scores with conditional permutation\")\nresults_cond = bbi_cond.compute_importance()\npvals_cond = -np.log10(results_cond[\"pval\"] + 1e-5)"
       ]
     },
     {
diff --git a/docs/_images/sphx_glr_plot_diabetesFeatures_importance_example_001.png b/docs/_images/sphx_glr_plot_diabetes_variable_importance_example_001.png
similarity index 100%
rename from docs/_images/sphx_glr_plot_diabetesFeatures_importance_example_001.png
rename to docs/_images/sphx_glr_plot_diabetes_variable_importance_example_001.png
diff --git a/docs/_images/sphx_glr_plot_diabetesFeatures_importance_example_thumb.png b/docs/_images/sphx_glr_plot_diabetes_variable_importance_example_thumb.png
similarity index 100%
rename from docs/_images/sphx_glr_plot_diabetesFeatures_importance_example_thumb.png
rename to docs/_images/sphx_glr_plot_diabetes_variable_importance_example_thumb.png
diff --git a/docs/_images/sphx_glr_plot_fmri_data_example_001.png b/docs/_images/sphx_glr_plot_fmri_data_example_001.png
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diff --git a/docs/_sources/auto_examples/index.rst.txt b/docs/_sources/auto_examples/index.rst.txt
index 99094c0..ebda58f 100644
--- a/docs/_sources/auto_examples/index.rst.txt
+++ b/docs/_sources/auto_examples/index.rst.txt
@@ -23,10 +23,10 @@ Examples Gallery
 
 .. only:: html
 
-  .. image:: /auto_examples/images/thumb/sphx_glr_plot_diabetesFeatures_importance_example_thumb.png
+  .. image:: /auto_examples/images/thumb/sphx_glr_plot_diabetes_variable_importance_example_thumb.png
     :alt:
 
-  :ref:`sphx_glr_auto_examples_plot_diabetesFeatures_importance_example.py`
+  :ref:`sphx_glr_auto_examples_plot_diabetes_variable_importance_example.py`
 
 .. raw:: html
 
@@ -78,7 +78,7 @@ Examples Gallery
 .. toctree::
    :hidden:
 
-   /auto_examples/plot_diabetesFeatures_importance_example
+   /auto_examples/plot_diabetes_variable_importance_example
    /auto_examples/plot_2D_simulation_example
    /auto_examples/plot_fmri_data_example
 
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 cd5301a..cfaabbe 100644
--- a/docs/_sources/auto_examples/plot_2D_simulation_example.rst.txt
+++ b/docs/_sources/auto_examples/plot_2D_simulation_example.rst.txt
@@ -542,9 +542,9 @@ randomization.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (1 minutes 9.270 seconds)
+   **Total running time of the script:** (1 minutes 0.085 seconds)
 
-**Estimated memory usage:**  101 MB
+**Estimated memory usage:**  99 MB
 
 
 .. _sphx_glr_download_auto_examples_plot_2D_simulation_example.py:
diff --git a/docs/_sources/auto_examples/plot_diabetesFeatures_importance_example.rst.txt b/docs/_sources/auto_examples/plot_diabetes_variable_importance_example.rst.txt
similarity index 80%
rename from docs/_sources/auto_examples/plot_diabetesFeatures_importance_example.rst.txt
rename to docs/_sources/auto_examples/plot_diabetes_variable_importance_example.rst.txt
index 56d79a4..2e3a61c 100644
--- a/docs/_sources/auto_examples/plot_diabetesFeatures_importance_example.rst.txt
+++ b/docs/_sources/auto_examples/plot_diabetes_variable_importance_example.rst.txt
@@ -2,7 +2,7 @@
 .. DO NOT EDIT.
 .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
 .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "auto_examples/plot_diabetesFeatures_importance_example.py"
+.. "auto_examples/plot_diabetes_variable_importance_example.py"
 .. LINE NUMBERS ARE GIVEN BELOW.
 
 .. only:: html
@@ -10,12 +10,12 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_diabetesFeatures_importance_example.py>`
+        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_diabetes_variable_importance_example.py>`
         to download the full example code.
 
 .. rst-class:: sphx-glr-example-title
 
-.. _sphx_glr_auto_examples_plot_diabetesFeatures_importance_example.py:
+.. _sphx_glr_auto_examples_plot_diabetes_variable_importance_example.py:
 
 
 Variable Importance on diabetes dataset
@@ -72,11 +72,11 @@ Standard Variable Importance
     bbi_perm = BlockBasedImportance(
         estimator="RF",
         importance_estimator="Mod_RF",
-        do_hyper=True,
-        dict_hyper=None,
+        do_hypertuning=True,
+        dict_hypertuning=None,
         conditional=False,
         group_stacking=False,
-        prob_type="regression",
+        problem_type="regression",
         k_fold=k_fold,
         list_nominal=list_nominal,
         n_jobs=10,
@@ -116,11 +116,11 @@ Conditional Variable Importance
     bbi_cond = BlockBasedImportance(
         estimator="RF",
         importance_estimator="Mod_RF",
-        do_hyper=True,
-        dict_hyper=None,
+        do_hypertuning=True,
+        dict_hypertuning=None,
         conditional=True,
         group_stacking=False,
-        prob_type="regression",
+        problem_type="regression",
         k_fold=k_fold,
         list_nominal=list_nominal,
         n_jobs=10,
@@ -182,9 +182,9 @@ Plotting the comparison
 
 
 
-.. image-sg:: /auto_examples/images/sphx_glr_plot_diabetesFeatures_importance_example_001.png
-   :alt: plot diabetesFeatures importance example
-   :srcset: /auto_examples/images/sphx_glr_plot_diabetesFeatures_importance_example_001.png
+.. image-sg:: /auto_examples/images/sphx_glr_plot_diabetes_variable_importance_example_001.png
+   :alt: plot diabetes variable importance example
+   :srcset: /auto_examples/images/sphx_glr_plot_diabetes_variable_importance_example_001.png
    :class: sphx-glr-single-img
 
 
@@ -194,12 +194,12 @@ Plotting the comparison
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 47.285 seconds)
+   **Total running time of the script:** (0 minutes 46.171 seconds)
 
-**Estimated memory usage:**  32 MB
+**Estimated memory usage:**  28 MB
 
 
-.. _sphx_glr_download_auto_examples_plot_diabetesFeatures_importance_example.py:
+.. _sphx_glr_download_auto_examples_plot_diabetes_variable_importance_example.py:
 
 .. only:: html
 
@@ -207,11 +207,11 @@ Plotting the comparison
 
     .. container:: sphx-glr-download sphx-glr-download-jupyter
 
-      :download:`Download Jupyter notebook: plot_diabetesFeatures_importance_example.ipynb <plot_diabetesFeatures_importance_example.ipynb>`
+      :download:`Download Jupyter notebook: plot_diabetes_variable_importance_example.ipynb <plot_diabetes_variable_importance_example.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
-      :download:`Download Python source code: plot_diabetesFeatures_importance_example.py <plot_diabetesFeatures_importance_example.py>`
+      :download:`Download Python source code: plot_diabetes_variable_importance_example.py <plot_diabetes_variable_importance_example.py>`
 
 
 .. only:: html
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 3b29ecf..729f319 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 107290624 of 291168628 bytes (36.8%,    1.7s remaining)
    Downloaded 238895104 of 291168628 bytes (82.0%,    0.4s remaining) ...done. (3 seconds, 0 min)
+
    Downloaded 20447232 of 291168628 bytes (7.0%,   13.6s remaining)
    Downloaded 62308352 of 291168628 bytes (21.4%,    7.6s remaining)
    Downloaded 104996864 of 291168628 bytes (36.1%,    5.5s remaining)
    Downloaded 147136512 of 291168628 bytes (50.5%,    4.0s remaining)
    Downloaded 189079552 of 291168628 bytes (64.9%,    2.8s remaining)
    Downloaded 231620608 of 291168628 bytes (79.5%,    1.6s remaining)
    Downloaded 273883136 of 291168628 bytes (94.1%,    0.5s remaining) ...done. (8 seconds, 0 min)
     Extracting data from /home/runner/nilearn_data/haxby2001/def37a305edfda829916fa14c9ea08f8/subj2-2010.01.14.tar.gz..... done.
 
 
@@ -361,7 +361,7 @@ 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:   32.6s finished
+    [Parallel(n_jobs=2)]: Done   5 out of   5 | elapsed:   31.3s finished
 
 
 
@@ -599,9 +599,9 @@ spurious discoveries.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (1 minutes 25.149 seconds)
+   **Total running time of the script:** (1 minutes 26.859 seconds)
 
-**Estimated memory usage:**  2772 MB
+**Estimated memory usage:**  2762 MB
 
 
 .. _sphx_glr_download_auto_examples_plot_fmri_data_example.py:
diff --git a/docs/_sources/auto_examples/sg_execution_times.rst.txt b/docs/_sources/auto_examples/sg_execution_times.rst.txt
index 10a1b8c..1d4dd20 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
 =================
-**03:21.704** total execution time for 3 files **from auto_examples**:
+**03:13.114** total execution time for 3 files **from auto_examples**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_fmri_data_example.py` (``plot_fmri_data_example.py``)
-     - 01:25.149
-     - 2772.0
+     - 01:26.859
+     - 2762.1
    * - :ref:`sphx_glr_auto_examples_plot_2D_simulation_example.py` (``plot_2D_simulation_example.py``)
-     - 01:09.270
-     - 100.8
-   * - :ref:`sphx_glr_auto_examples_plot_diabetesFeatures_importance_example.py` (``plot_diabetesFeatures_importance_example.py``)
-     - 00:47.285
-     - 31.5
+     - 01:00.085
+     - 98.6
+   * - :ref:`sphx_glr_auto_examples_plot_diabetes_variable_importance_example.py` (``plot_diabetes_variable_importance_example.py``)
+     - 00:46.171
+     - 28.4
diff --git a/docs/_sources/sg_execution_times.rst.txt b/docs/_sources/sg_execution_times.rst.txt
index 55c9bb2..2d28719 100644
--- a/docs/_sources/sg_execution_times.rst.txt
+++ b/docs/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**03:21.704** total execution time for 3 files **from all galleries**:
+**03:13.114** total execution time for 3 files **from all galleries**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_fmri_data_example.py` (``../examples/plot_fmri_data_example.py``)
-     - 01:25.149
-     - 2772.0
+     - 01:26.859
+     - 2762.1
    * - :ref:`sphx_glr_auto_examples_plot_2D_simulation_example.py` (``../examples/plot_2D_simulation_example.py``)
-     - 01:09.270
-     - 100.8
-   * - :ref:`sphx_glr_auto_examples_plot_diabetesFeatures_importance_example.py` (``../examples/plot_diabetesFeatures_importance_example.py``)
-     - 00:47.285
-     - 31.5
+     - 01:00.085
+     - 98.6
+   * - :ref:`sphx_glr_auto_examples_plot_diabetes_variable_importance_example.py` (``../examples/plot_diabetes_variable_importance_example.py``)
+     - 00:46.171
+     - 28.4
diff --git a/docs/api.html b/docs/api.html
index e284487..a80f874 100644
--- a/docs/api.html
+++ b/docs/api.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>API Documentation &#8212; hidimstat 0.1.0 documentation</title>
+    <title>API Documentation &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
@@ -138,7 +138,7 @@ <h2>Functions<a class="headerlink" href="#functions" title="Link to this heading
 <td><p>Aggregation of survival function values by adaptive quantile procedure</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/hidimstat.BlockBasedImportance.html#hidimstat.BlockBasedImportance" title="hidimstat.BlockBasedImportance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockBasedImportance</span></code></a>([estimator, ...])</p></td>
-<td><p>This class implements the Block Based Importance (BBI),</p></td>
+<td><p>This class implements the Block-Based Importance (BBI), consisting of a learner block (first block) and an importance block (second block). For single-level see <a href="#id3"><span class="problematic" id="id4">:footcite:t:`Chamma_NeurIPS2023`</span></a> and for group-level see <a href="#id5"><span class="problematic" id="id6">:footcite:t:`Chamma_AAAI2024`</span></a>. Parameters ---------- estimator: scikit-learn compatible estimator, default=None     The provided estimator for the prediction task (First block). The default estimator is the DNN learner. Other options are (1) RF     for Random Forest. importance_estimator: {scikit-learn compatible estimator or string},                       default=Mod_RF     The provided estimator for the importance task (Second block). Using &quot;Mod_RF&quot; will apply the modified version of the Random Forest as     the importance predictor. do_hypertuning: bool, default=True     Tuning the hyperparameters of the provided estimator. dict_hypertuning: dict, default=None     The dictionary of hyperparameters to tune. problem_type: str, default='regression'     A classification or a regression problem. bootstrap: bool, default=True     Application of bootstrap sampling for the training set. split_perc: float, default=0.8     The training/validation cut for the provided data. conditional: bool, default=True     The permutation or the conditional sampling approach. list_nominal: dict, default=None     The dictionary of binary, nominal and ordinal variables. Perm: bool, default=False     The use of permutations or random sampling with CPI-DNN. n_perm: int, default=50     The number of permutations/random sampling for each column. n_jobs: int, default=1     The number of workers for parallel processing. verbose: int, default=0     If verbose &gt; 0, the fitted iterations will be printed. groups: dict, default=None     The knowledge-driven/data-driven grouping of the variables if provided. group_stacking: bool, default=False     Apply the stacking-based method for the provided groups. prop_out_subLayers: int, default=0. If group_stacking is set to True, proportion of outputs for     the linear sub-layers per group. index_i: int, default=None     The index of the current processed iteration. random_state: int, default=2023     Fixing the seeds of the random generator. com_imp: boolean, default=True     Compute or not the importance scores. group_label: list, default=None     The list of group labels to perform GroupKFold Attributes ---------- ToDO.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="generated/hidimstat.clustered_inference.html#hidimstat.clustered_inference" title="hidimstat.clustered_inference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">clustered_inference</span></code></a>(X_init, y, ward, n_clusters)</p></td>
 <td><p>Clustered inference algorithm</p></td>
diff --git a/docs/auto_examples/index.html b/docs/auto_examples/index.html
index 465b9ca..401df9b 100644
--- a/docs/auto_examples/index.html
+++ b/docs/auto_examples/index.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Examples Gallery &#8212; hidimstat 0.1.0 documentation</title>
+    <title>Examples Gallery &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -39,7 +39,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
@@ -110,8 +110,8 @@
       
   <section id="examples-gallery">
 <span id="general-examples"></span><h1>Examples Gallery<a class="headerlink" href="#examples-gallery" title="Link to this heading">¶</a></h1>
-<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This example compares the standard permutation approach for variable importance and its conditi..."><img alt="" src="../_images/sphx_glr_plot_diabetesFeatures_importance_example_thumb.png" />
-<p><a class="reference internal" href="plot_diabetesFeatures_importance_example.html#sphx-glr-auto-examples-plot-diabetesfeatures-importance-example-py"><span class="std std-ref">Variable Importance on diabetes dataset</span></a></p>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This example compares the standard permutation approach for variable importance and its conditi..."><img alt="" src="../_images/sphx_glr_plot_diabetes_variable_importance_example_thumb.png" />
+<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></p>
   <div class="sphx-glr-thumbnail-title">Variable Importance on diabetes dataset</div>
 </div><div class="sphx-glr-thumbcontainer" tooltip="This example shows the advantages of spatially relaxed inference when dealing with high-dimensi..."><img alt="" src="../_images/sphx_glr_plot_2D_simulation_example_thumb.png" />
 <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></p>
diff --git a/docs/auto_examples/plot_2D_simulation_example.html b/docs/auto_examples/plot_2D_simulation_example.html
index f242c05..bd5b83d 100644
--- a/docs/auto_examples/plot_2D_simulation_example.html
+++ b/docs/auto_examples/plot_2D_simulation_example.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Support recovery on simulated data (2D) &#8212; hidimstat 0.1.0 documentation</title>
+    <title>Support recovery on simulated data (2D) &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -39,7 +39,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
@@ -473,8 +473,8 @@ <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 9.270 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  101 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 0.085 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  99 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_diabetesFeatures_importance_example.html b/docs/auto_examples/plot_diabetes_variable_importance_example.html
similarity index 93%
rename from docs/auto_examples/plot_diabetesFeatures_importance_example.html
rename to docs/auto_examples/plot_diabetes_variable_importance_example.html
index 693a2ae..b72d325 100644
--- a/docs/auto_examples/plot_diabetesFeatures_importance_example.html
+++ b/docs/auto_examples/plot_diabetes_variable_importance_example.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Variable Importance on diabetes dataset &#8212; hidimstat 0.1.0 documentation</title>
+    <title>Variable Importance on diabetes dataset &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -39,7 +39,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
@@ -100,7 +100,7 @@
 </ul>
 
 <div id="sourcelink">
-  <a href="../_sources/auto_examples/plot_diabetesFeatures_importance_example.rst.txt"
+  <a href="../_sources/auto_examples/plot_diabetes_variable_importance_example.rst.txt"
      rel="nofollow">Source</a>
 </div>
 <form action="../search.html" method="get">
@@ -116,11 +116,11 @@
       
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p><a class="reference internal" href="#sphx-glr-download-auto-examples-plot-diabetesfeatures-importance-example-py"><span class="std std-ref">Go to the end</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-auto-examples-plot-diabetes-variable-importance-example-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code.</p>
 </div>
 <section class="sphx-glr-example-title" id="variable-importance-on-diabetes-dataset">
-<span id="sphx-glr-auto-examples-plot-diabetesfeatures-importance-example-py"></span><h1>Variable Importance on diabetes dataset<a class="headerlink" href="#variable-importance-on-diabetes-dataset" title="Link to this heading">¶</a></h1>
+<span id="sphx-glr-auto-examples-plot-diabetes-variable-importance-example-py"></span><h1>Variable Importance on diabetes dataset<a class="headerlink" href="#variable-importance-on-diabetes-dataset" title="Link to this heading">¶</a></h1>
 <p>This example compares the standard permutation approach for variable importance
 and its conditional variant on the diabetes dataset for the single-level case.</p>
 <section id="imports-needed-for-this-script">
@@ -150,11 +150,11 @@ <h2>Standard Variable Importance<a class="headerlink" href="#standard-variable-i
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">bbi_perm</span> <span class="o">=</span> <a href="https://scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html#sklearn.base.BaseEstimator" title="sklearn.base.BaseEstimator" class="sphx-glr-backref-module-sklearn-base sphx-glr-backref-type-py-class"><span class="n">BlockBasedImportance</span></a><span class="p">(</span>
     <span class="n">estimator</span><span class="o">=</span><span class="s2">&quot;RF&quot;</span><span class="p">,</span>
     <span class="n">importance_estimator</span><span class="o">=</span><span class="s2">&quot;Mod_RF&quot;</span><span class="p">,</span>
-    <span class="n">do_hyper</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
-    <span class="n">dict_hyper</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">do_hypertuning</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">dict_hypertuning</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">conditional</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
     <span class="n">group_stacking</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
-    <span class="n">prob_type</span><span class="o">=</span><span class="s2">&quot;regression&quot;</span><span class="p">,</span>
+    <span class="n">problem_type</span><span class="o">=</span><span class="s2">&quot;regression&quot;</span><span class="p">,</span>
     <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">k_fold</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">k_fold</span></a><span class="p">,</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">list_nominal</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">list_nominal</span></a><span class="p">,</span>
     <span class="n">n_jobs</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
@@ -178,11 +178,11 @@ <h2>Conditional Variable Importance<a class="headerlink" href="#conditional-vari
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">bbi_cond</span> <span class="o">=</span> <a href="https://scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html#sklearn.base.BaseEstimator" title="sklearn.base.BaseEstimator" class="sphx-glr-backref-module-sklearn-base sphx-glr-backref-type-py-class"><span class="n">BlockBasedImportance</span></a><span class="p">(</span>
     <span class="n">estimator</span><span class="o">=</span><span class="s2">&quot;RF&quot;</span><span class="p">,</span>
     <span class="n">importance_estimator</span><span class="o">=</span><span class="s2">&quot;Mod_RF&quot;</span><span class="p">,</span>
-    <span class="n">do_hyper</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
-    <span class="n">dict_hyper</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">do_hypertuning</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">dict_hypertuning</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">conditional</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
     <span class="n">group_stacking</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
-    <span class="n">prob_type</span><span class="o">=</span><span class="s2">&quot;regression&quot;</span><span class="p">,</span>
+    <span class="n">problem_type</span><span class="o">=</span><span class="s2">&quot;regression&quot;</span><span class="p">,</span>
     <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">k_fold</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">k_fold</span></a><span class="p">,</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">list_nominal</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">list_nominal</span></a><span class="p">,</span>
     <span class="n">n_jobs</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
@@ -227,14 +227,14 @@ <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_diabetesFeatures_importance_example_001.png" srcset="../_images/sphx_glr_plot_diabetesFeatures_importance_example_001.png" alt="plot diabetesFeatures importance example" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 47.285 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  32 MB</p>
-<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-diabetesfeatures-importance-example-py">
+<img src="../_images/sphx_glr_plot_diabetes_variable_importance_example_001.png" srcset="../_images/sphx_glr_plot_diabetes_variable_importance_example_001.png" alt="plot diabetes variable importance example" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 46.171 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  28 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/6352d1acfa60f2083a9b7a62b5203e91/plot_diabetesFeatures_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_diabetesFeatures_importance_example.ipynb</span></code></a></p>
+<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>
 </div>
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/205fc01252fa85326bc85c58c2e96a08/plot_diabetesFeatures_importance_example.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_diabetesFeatures_importance_example.py</span></code></a></p>
+<p><a class="reference download internal" download="" href="../_downloads/6f624092537330c9f373c01828b2b9ae/plot_diabetes_variable_importance_example.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_diabetes_variable_importance_example.py</span></code></a></p>
 </div>
 </div>
 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
diff --git a/docs/auto_examples/plot_fmri_data_example.html b/docs/auto_examples/plot_fmri_data_example.html
index a2766f4..f6dc8e3 100644
--- a/docs/auto_examples/plot_fmri_data_example.html
+++ b/docs/auto_examples/plot_fmri_data_example.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Support recovery on fMRI data &#8212; hidimstat 0.1.0 documentation</title>
+    <title>Support recovery on fMRI data &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -39,7 +39,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
@@ -252,8 +252,13 @@ <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 107290624 of 291168628 bytes (36.8%,    1.7s remaining)
-Downloaded 238895104 of 291168628 bytes (82.0%,    0.4s remaining) ...done. (3 seconds, 0 min)
+Downloaded 20447232 of 291168628 bytes (7.0%,   13.6s remaining)
+Downloaded 62308352 of 291168628 bytes (21.4%,    7.6s remaining)
+Downloaded 104996864 of 291168628 bytes (36.1%,    5.5s remaining)
+Downloaded 147136512 of 291168628 bytes (50.5%,    4.0s remaining)
+Downloaded 189079552 of 291168628 bytes (64.9%,    2.8s remaining)
+Downloaded 231620608 of 291168628 bytes (79.5%,    1.6s remaining)
+Downloaded 273883136 of 291168628 bytes (94.1%,    0.5s remaining) ...done. (8 seconds, 0 min)
 Extracting data from /home/runner/nilearn_data/haxby2001/def37a305edfda829916fa14c9ea08f8/subj2-2010.01.14.tar.gz..... done.
 </pre></div>
 </div>
@@ -339,7 +344,7 @@ <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:   32.6s finished
+[Parallel(n_jobs=2)]: Done   5 out of   5 | elapsed:   31.3s finished
 </pre></div>
 </div>
 </section>
@@ -458,8 +463,8 @@ <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 25.149 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  2772 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 26.859 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  2762 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/sg_execution_times.html b/docs/auto_examples/sg_execution_times.html
index c0c4a0e..7b8580a 100644
--- a/docs/auto_examples/sg_execution_times.html
+++ b/docs/auto_examples/sg_execution_times.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Computation times &#8212; hidimstat 0.1.0 documentation</title>
+    <title>Computation times &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -39,7 +39,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
@@ -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>03:21.704</strong> total execution time for 3 files <strong>from auto_examples</strong>:</p>
+<p><strong>03:13.114</strong> total execution time for 3 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" />
@@ -132,16 +132,16 @@
 </thead>
 <tbody>
 <tr class="row-even"><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>01:25.149</p></td>
-<td><p>2772.0</p></td>
+<td><p>01:26.859</p></td>
+<td><p>2762.1</p></td>
 </tr>
 <tr class="row-odd"><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>01:09.270</p></td>
-<td><p>100.8</p></td>
+<td><p>01:00.085</p></td>
+<td><p>98.6</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="plot_diabetesFeatures_importance_example.html#sphx-glr-auto-examples-plot-diabetesfeatures-importance-example-py"><span class="std std-ref">Variable Importance on diabetes dataset</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_diabetesFeatures_importance_example.py</span></code>)</p></td>
-<td><p>00:47.285</p></td>
-<td><p>31.5</p></td>
+<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>00:46.171</p></td>
+<td><p>28.4</p></td>
 </tr>
 </tbody>
 </table>
diff --git a/docs/generated/hidimstat.BlockBasedImportance.html b/docs/generated/hidimstat.BlockBasedImportance.html
index f241be3..1080bd0 100644
--- a/docs/generated/hidimstat.BlockBasedImportance.html
+++ b/docs/generated/hidimstat.BlockBasedImportance.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.BlockBasedImportance &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.BlockBasedImportance &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
@@ -128,19 +128,21 @@
 <h1>hidimstat.BlockBasedImportance<a class="headerlink" href="#hidimstat-blockbasedimportance" title="Link to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="hidimstat.BlockBasedImportance">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">hidimstat.</span></span><span class="sig-name descname"><span class="pre">BlockBasedImportance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">importance_estimator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Mod_RF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coffeine_transformer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">do_hyper</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict_hyper</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prob_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'regression'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bootstrap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_perc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conditional</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">list_nominal</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Perm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_perm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_stacking</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sub_groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_fold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prop_out_subLayers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index_i</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2023</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">com_imp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_fold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#hidimstat.BlockBasedImportance" title="Link to this definition">¶</a></dt>
-<dd><dl class="simple">
-<dt>This class implements the Block Based Importance (BBI),</dt><dd><p>it consists of the learner block (first block)
-and the importance block (second block).</p>
-</dd>
-</dl>
-<section id="parameters">
-<h2>Parameters<a class="headerlink" href="#parameters" title="Link to this heading">¶</a></h2>
-<dl>
-<dt>estimator: scikit-learn compatible estimator, default=None</dt><dd><p>The provided estimator for the prediction task (First block).
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">hidimstat.</span></span><span class="sig-name descname"><span class="pre">BlockBasedImportance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">importance_estimator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Mod_RF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coffeine_transformer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">do_hypertuning</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict_hypertuning</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">problem_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'regression'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bootstrap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_perc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conditional</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">list_nominal</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Perm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_perm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_stacking</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sub_groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_fold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prop_out_subLayers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index_i</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2023</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">com_imp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_fold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#hidimstat.BlockBasedImportance" title="Link to this definition">¶</a></dt>
+<dd><p>This class implements the Block-Based Importance (BBI),
+consisting of a learner block (first block) and an importance block (second
+block).
+For single-level see <a href="#id1"><span class="problematic" id="id2">:footcite:t:`Chamma_NeurIPS2023`</span></a> and for group-level
+see <a href="#id3"><span class="problematic" id="id4">:footcite:t:`Chamma_AAAI2024`</span></a>.
+Parameters
+———-
+estimator: scikit-learn compatible estimator, default=None</p>
+<blockquote>
+<div><p>The provided estimator for the prediction task (First block).
 The default estimator is the DNN learner. Other options are (1) RF
 for Random Forest.</p>
-</dd>
+</div></blockquote>
+<dl>
 <dt>importance_estimator: {scikit-learn compatible estimator or string},</dt><dd><blockquote>
 <div><p>default=Mod_RF</p>
 </div></blockquote>
@@ -148,11 +150,11 @@ <h2>Parameters<a class="headerlink" href="#parameters" title="Link to this headi
 Using “Mod_RF” will apply the modified version of the Random Forest as
 the importance predictor.</p>
 </dd>
-<dt>do_hyper: bool, default=True</dt><dd><p>Tuning the hyperparameters of the provided estimator.</p>
+<dt>do_hypertuning: bool, default=True</dt><dd><p>Tuning the hyperparameters of the provided estimator.</p>
 </dd>
-<dt>dict_hyper: dict, default=None</dt><dd><p>The dictionary of hyperparameters to tune.</p>
+<dt>dict_hypertuning: dict, default=None</dt><dd><p>The dictionary of hyperparameters to tune.</p>
 </dd>
-<dt>prob_type: str, default=’regression’</dt><dd><p>A classification or a regression problem.</p>
+<dt>problem_type: str, default=’regression’</dt><dd><p>A classification or a regression problem.</p>
 </dd>
 <dt>bootstrap: bool, default=True</dt><dd><p>Application of bootstrap sampling for the training set.</p>
 </dd>
@@ -186,13 +188,12 @@ <h2>Parameters<a class="headerlink" href="#parameters" title="Link to this headi
 <dt>group_label: list, default=None</dt><dd><p>The list of group labels to perform GroupKFold</p>
 </dd>
 </dl>
-</section>
 <section id="attributes">
 <h2>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">¶</a></h2>
 <p>ToDO</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="hidimstat.BlockBasedImportance.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">importance_estimator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Mod_RF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coffeine_transformer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">do_hyper</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict_hyper</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prob_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'regression'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bootstrap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_perc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conditional</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">list_nominal</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Perm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_perm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_stacking</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sub_groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_fold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prop_out_subLayers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index_i</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2023</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">com_imp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_fold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#hidimstat.BlockBasedImportance.__init__" title="Link to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">importance_estimator</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Mod_RF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coffeine_transformer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">do_hypertuning</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict_hypertuning</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">problem_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'regression'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bootstrap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_perc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conditional</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">list_nominal</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Perm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_perm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_stacking</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sub_groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_fold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prop_out_subLayers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index_i</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2023</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">com_imp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_fold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#hidimstat.BlockBasedImportance.__init__" title="Link to this definition">¶</a></dt>
 <dd></dd></dl>
 
 <p class="rubric">Methods</p>
diff --git a/docs/generated/hidimstat.ada_svr.html b/docs/generated/hidimstat.ada_svr.html
index f410058..6e45c3a 100644
--- a/docs/generated/hidimstat.ada_svr.html
+++ b/docs/generated/hidimstat.ada_svr.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.ada_svr &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.ada_svr &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.aggregate_quantiles.html b/docs/generated/hidimstat.aggregate_quantiles.html
index 491db4c..9b3ff33 100644
--- a/docs/generated/hidimstat.aggregate_quantiles.html
+++ b/docs/generated/hidimstat.aggregate_quantiles.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.aggregate_quantiles &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.aggregate_quantiles &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.clustered_inference.html b/docs/generated/hidimstat.clustered_inference.html
index 2f3035b..6e0d006 100644
--- a/docs/generated/hidimstat.clustered_inference.html
+++ b/docs/generated/hidimstat.clustered_inference.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.clustered_inference &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.clustered_inference &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.desparsified_lasso.html b/docs/generated/hidimstat.desparsified_lasso.html
index ec2d1d6..68588d3 100644
--- a/docs/generated/hidimstat.desparsified_lasso.html
+++ b/docs/generated/hidimstat.desparsified_lasso.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.desparsified_lasso &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.desparsified_lasso &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.ensemble_clustered_inference.html b/docs/generated/hidimstat.ensemble_clustered_inference.html
index e5d7d97..ed922e7 100644
--- a/docs/generated/hidimstat.ensemble_clustered_inference.html
+++ b/docs/generated/hidimstat.ensemble_clustered_inference.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.ensemble_clustered_inference &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.ensemble_clustered_inference &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.group_reid.html b/docs/generated/hidimstat.group_reid.html
index dfce2d9..a857319 100644
--- a/docs/generated/hidimstat.group_reid.html
+++ b/docs/generated/hidimstat.group_reid.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.group_reid &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.group_reid &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.hd_inference.html b/docs/generated/hidimstat.hd_inference.html
index fced12f..230c34f 100644
--- a/docs/generated/hidimstat.hd_inference.html
+++ b/docs/generated/hidimstat.hd_inference.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.hd_inference &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.hd_inference &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.multivariate_1D_simulation.html b/docs/generated/hidimstat.multivariate_1D_simulation.html
index 25e52d6..f646e2f 100644
--- a/docs/generated/hidimstat.multivariate_1D_simulation.html
+++ b/docs/generated/hidimstat.multivariate_1D_simulation.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.multivariate_1D_simulation &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.multivariate_1D_simulation &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.permutation_test_cv.html b/docs/generated/hidimstat.permutation_test_cv.html
index 2a8fc03..9beb9d5 100644
--- a/docs/generated/hidimstat.permutation_test_cv.html
+++ b/docs/generated/hidimstat.permutation_test_cv.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.permutation_test_cv &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.permutation_test_cv &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.reid.html b/docs/generated/hidimstat.reid.html
index 3ea11c3..56d7ec9 100644
--- a/docs/generated/hidimstat.reid.html
+++ b/docs/generated/hidimstat.reid.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.reid &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.reid &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.standardized_svr.html b/docs/generated/hidimstat.standardized_svr.html
index 071fdc9..3eacba7 100644
--- a/docs/generated/hidimstat.standardized_svr.html
+++ b/docs/generated/hidimstat.standardized_svr.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>hidimstat.standardized_svr &#8212; hidimstat 0.1.0 documentation</title>
+    <title>hidimstat.standardized_svr &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="../_static/style.css?v=fbda0898" />
@@ -41,7 +41,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="../index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
diff --git a/docs/generated/hidimstat.zscore_from_pval.html b/docs/generated/hidimstat.zscore_from_pval.html
index 379a75d..528c087 100644
--- a/docs/generated/hidimstat.zscore_from_pval.html
+++ b/docs/generated/hidimstat.zscore_from_pval.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
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diff --git a/docs/sg_execution_times.html b/docs/sg_execution_times.html
index 5922246..6137da2 100644
--- a/docs/sg_execution_times.html
+++ b/docs/sg_execution_times.html
@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Computation times &#8212; hidimstat 0.1.0 documentation</title>
+    <title>Computation times &#8212; HiDimStat 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
     <link rel="stylesheet" type="text/css" href="_static/bootstrap-sphinx.css?v=284a2d1d" />
     <link rel="stylesheet" type="text/css" href="_static/style.css?v=fbda0898" />
@@ -39,7 +39,7 @@
           <span class="icon-bar"></span>
         </button>
         <a class="navbar-brand" href="index.html">
-          hidimstat</a>
+          HiDimStat</a>
         <span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
       </div>
 
@@ -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>03:21.704</strong> total execution time for 3 files <strong>from all galleries</strong>:</p>
+<p><strong>03:13.114</strong> total execution time for 3 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" />
@@ -132,16 +132,16 @@
 </thead>
 <tbody>
 <tr class="row-even"><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>01:25.149</p></td>
-<td><p>2772.0</p></td>
+<td><p>01:26.859</p></td>
+<td><p>2762.1</p></td>
 </tr>
 <tr class="row-odd"><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>01:09.270</p></td>
-<td><p>100.8</p></td>
+<td><p>01:00.085</p></td>
+<td><p>98.6</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/plot_diabetesFeatures_importance_example.html#sphx-glr-auto-examples-plot-diabetesfeatures-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_diabetesFeatures_importance_example.py</span></code>)</p></td>
-<td><p>00:47.285</p></td>
-<td><p>31.5</p></td>
+<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>00:46.171</p></td>
+<td><p>28.4</p></td>
 </tr>
 </tbody>
 </table>