diff --git a/articles/global-survshap_files/figure-html/unnamed-chunk-5-1.png b/articles/global-survshap_files/figure-html/unnamed-chunk-5-1.png index 471c679..afc9fe9 100644 Binary files a/articles/global-survshap_files/figure-html/unnamed-chunk-5-1.png and b/articles/global-survshap_files/figure-html/unnamed-chunk-5-1.png differ diff --git a/articles/mlr3proba-usage.html b/articles/mlr3proba-usage.html index 0599656..ebbeed0 100644 --- a/articles/mlr3proba-usage.html +++ b/articles/mlr3proba-usage.html @@ -121,43 +121,25 @@
if (!require("ooplah")) install.packages("ooplah")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'ooplah'
if (!require("dictionar6")) install.packages("dictionar6")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'dictionar6'
if (!require("set6")) install.packages("set6",
repos = "https://mlr-org.r-universe.dev")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'set6'
if (!require("param6")) install.packages("param6",
repos = "https://mlr-org.r-universe.dev")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'param6'
if (!require("distr6")) install.packages("distr6",
repos = "https://mlr-org.r-universe.dev")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'distr6'
if (!require("mlr3")) install.packages("mlr3")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'mlr3'
if (!require("mlr3proba")) install.packages("mlr3proba",
repos = "https://mlr-org.r-universe.dev")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'mlr3proba'
if (!require("mlr3extralearners")) install.packages("mlr3extralearners",
repos = "https://mlr-org.r-universe.dev")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'mlr3extralearners'
if (!require("mlr3pipelines")) install.packages("mlr3pipelines")
-#> Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
-#> logical.return = TRUE, : there is no package called 'mlr3pipelines'
library(mlr3proba)
library(mlr3extralearners)
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index 9cf2ddb..031c58c 100644
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diff --git a/articles/pdp.html b/articles/pdp.html
index bf5e7f1..f2c2400 100644
--- a/articles/pdp.html
+++ b/articles/pdp.html
@@ -233,7 +233,9 @@ Partial Dependence Explanations
"accumulated"
.
pdp_2d <- model_profile_2d(exp, variables = list(c("karno", "age")))
-#> Aggregating predictions.. Progress: 67%. Estimated remaining time: 15 seconds.
+#> Aggregating predictions.. Progress: 31%. Estimated remaining time: 1 minute, 8 seconds.
+#> Aggregating predictions.. Progress: 62%. Estimated remaining time: 38 seconds.
+#> Aggregating predictions.. Progress: 93%. Estimated remaining time: 7 seconds.
pdp_2d_num_cat <- model_profile_2d(exp, variables = list(c("karno", "celltype")))
These explanations can be plotted using the plot function.
diff --git a/pkgdown.yml b/pkgdown.yml
index ac544aa..612be6a 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -7,7 +7,7 @@ articles:
global-survshap: global-survshap.html
pdp: pdp.html
survex-usage: survex-usage.html
-last_built: 2023-10-24T19:08Z
+last_built: 2023-10-24T19:21Z
urls:
reference: https://modeloriented.github.io/survex/reference
article: https://modeloriented.github.io/survex/articles
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index 8442ba8..32d19a4 100644
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diff --git a/reference/model_diagnostics.surv_explainer-2.png b/reference/model_diagnostics.surv_explainer-2.png
index 3f394b0..26fb0dc 100644
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diff --git a/reference/model_parts.surv_explainer-1.png b/reference/model_parts.surv_explainer-1.png
index b2a9498..e7c2e34 100644
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diff --git a/reference/model_parts.surv_explainer-2.png b/reference/model_parts.surv_explainer-2.png
index a3f3e54..866d0ff 100644
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diff --git a/reference/model_parts.surv_explainer.html b/reference/model_parts.surv_explainer.html
index 0fcc6fb..c305dc7 100644
--- a/reference/model_parts.surv_explainer.html
+++ b/reference/model_parts.surv_explainer.html
@@ -192,20 +192,20 @@ Examples
cph_model_parts_brier <- model_parts(cph_exp)
print(head(cph_model_parts_brier$result))
-#> _times_ _full_model_ trt celltype karno diagtime
-#> 1 1.5 0 5.256927e-05 -0.0004332791 0.0002107716 9.425258e-08
-#> 12 4.0 0 -7.430163e-05 -0.0002120110 0.0018899828 1.491936e-06
-#> 23 7.0 0 2.436943e-04 0.0009262378 0.0055721212 2.720173e-06
-#> 35 8.0 0 6.340322e-05 0.0030181084 0.0110558455 5.798739e-06
-#> 48 10.0 0 -6.445876e-04 0.0011089194 0.0144497411 7.101680e-06
-#> 57 12.0 0 -1.618452e-03 0.0010867304 0.0182603948 7.471981e-06
-#> age prior _baseline_ _permutation_ label
-#> 1 1.865661e-05 1.246491e-05 -1.297031e-05 0 coxph
-#> 12 5.460953e-04 1.124311e-05 2.361437e-03 0 coxph
-#> 23 7.186469e-04 -7.165984e-05 6.461760e-03 0 coxph
-#> 35 8.083450e-04 9.299490e-05 1.206747e-02 0 coxph
-#> 48 1.076200e-03 2.029838e-04 1.578048e-02 0 coxph
-#> 57 1.107444e-03 4.655921e-04 1.838133e-02 0 coxph
+#> _times_ _full_model_ trt celltype karno diagtime
+#> 1 1.5 0 5.384453e-05 -0.0006463206 0.0001495106 1.675973e-07
+#> 12 4.0 0 -4.042871e-05 -0.0005889617 0.0018788167 -1.648536e-07
+#> 23 7.0 0 3.305696e-04 0.0005491735 0.0051575035 -8.028706e-07
+#> 35 8.0 0 1.201396e-04 0.0026284416 0.0099418733 3.802442e-06
+#> 48 10.0 0 -5.279865e-04 0.0015202360 0.0133966257 5.520314e-06
+#> 57 12.0 0 -1.633204e-03 0.0015996782 0.0160609741 5.534143e-06
+#> age prior _baseline_ _permutation_ label
+#> 1 3.852603e-05 1.342322e-05 0.0001331684 0 coxph
+#> 12 6.224512e-04 5.164115e-05 0.0026680886 0 coxph
+#> 23 8.361780e-04 -6.511282e-05 0.0080994631 0 coxph
+#> 35 1.146135e-03 4.772656e-05 0.0148464072 0 coxph
+#> 48 1.397579e-03 1.407626e-04 0.0185161336 0 coxph
+#> 57 1.533032e-03 4.182685e-04 0.0210313057 0 coxph
plot(cph_model_parts_brier)
@@ -213,19 +213,19 @@ Examples
rsf_ranger_model_parts <- model_parts(rsf_ranger_exp)
print(head(rsf_ranger_model_parts$result))
#> _times_ _full_model_ trt celltype karno diagtime
-#> 1 1.5 0 0.0002258422 0.001653738 0.002154695 0.001362203
-#> 12 4.0 0 0.0011207249 0.002459063 0.009308037 0.003410368
-#> 23 7.0 0 0.0014091835 0.003266176 0.016353161 0.004723243
-#> 35 8.0 0 0.0016703949 0.005425894 0.025991293 0.010953146
-#> 48 10.0 0 0.0020650091 0.005600829 0.036227678 0.013873516
-#> 57 12.0 0 0.0026297856 0.007873114 0.042640749 0.015943279
-#> age prior _baseline_ _permutation_ label
-#> 1 0.00231664 0.0002449811 0.005470502 0 ranger
-#> 12 0.01019244 0.0006931186 0.019393118 0 ranger
-#> 23 0.01330631 0.0011607115 0.027884967 0 ranger
-#> 35 0.01388119 0.0019286487 0.042736373 0 ranger
-#> 48 0.01540402 0.0032001327 0.057502499 0 ranger
-#> 57 0.01629742 0.0046273271 0.063597659 0 ranger
+#> 1 1.5 0 0.0003115301 0.001556636 0.002646500 0.001245264
+#> 12 4.0 0 0.0010205195 0.002063602 0.009721017 0.003006407
+#> 23 7.0 0 0.0021020184 0.002524944 0.016230909 0.005217535
+#> 35 8.0 0 0.0020020205 0.005217134 0.026749237 0.010858156
+#> 48 10.0 0 0.0020480513 0.005525208 0.036590431 0.012341841
+#> 57 12.0 0 0.0023285155 0.007464444 0.043412324 0.012280778
+#> age prior _baseline_ _permutation_ label
+#> 1 0.002890486 0.0003491360 0.006128302 0 ranger
+#> 12 0.010110876 0.0005853273 0.018235571 0 ranger
+#> 23 0.012040734 0.0004456972 0.025525952 0 ranger
+#> 35 0.012641973 0.0012363720 0.039549505 0 ranger
+#> 48 0.013881765 0.0017909214 0.050174769 0 ranger
+#> 57 0.014074994 0.0028008218 0.055612244 0 ranger
plot(cph_model_parts_brier, rsf_ranger_model_parts)
# }
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diff --git a/reference/model_profile.surv_explainer-1.png b/reference/model_profile.surv_explainer-1.png
index 4b53fe9..e696ca8 100644
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index e6b369e..1457e94 100644
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diff --git a/reference/model_profile.surv_explainer.html b/reference/model_profile.surv_explainer.html
index 79470ab..016d1b1 100644
--- a/reference/model_profile.surv_explainer.html
+++ b/reference/model_profile.surv_explainer.html
@@ -212,12 +212,12 @@ Examples
head(cph_model_profile$result)
#> _vname_ _vtype_ _label_ _x_ _times_ _yhat_ _ids_
-#> 1 age numerical coxph 34.00 1.5 0.9811826 0
-#> 2 age numerical coxph 34.94 1.5 0.9813333 0
-#> 3 age numerical coxph 35.00 1.5 0.9813428 0
-#> 4 age numerical coxph 35.88 1.5 0.9814827 0
-#> 5 age numerical coxph 36.00 1.5 0.9815017 0
-#> 6 age numerical coxph 36.82 1.5 0.9816310 0
+#> 1 age numerical coxph 34.00 1.5 0.9806619 0
+#> 2 age numerical coxph 34.94 1.5 0.9808166 0
+#> 3 age numerical coxph 35.00 1.5 0.9808264 0
+#> 4 age numerical coxph 35.88 1.5 0.9809701 0
+#> 5 age numerical coxph 36.82 1.5 0.9811223 0
+#> 6 age numerical coxph 37.00 1.5 0.9811513 0
plot(cph_model_profile)
@@ -230,12 +230,12 @@ Examples
head(rsf_model_profile$result)
#> _vname_ _vtype_ _label_ _x_ _times_ _yhat_ _ids_
-#> 1 age numerical rfsrc 34 1.5 0.8168101 0
-#> 2 age numerical rfsrc 34 4.0 0.7394619 0
-#> 3 age numerical rfsrc 34 7.0 0.7221792 0
-#> 4 age numerical rfsrc 34 8.0 0.6995498 0
-#> 5 age numerical rfsrc 34 10.0 0.6866869 0
-#> 6 age numerical rfsrc 34 12.0 0.6744986 0
+#> 1 age numerical rfsrc 34 1.5 0.9773011 0
+#> 2 age numerical rfsrc 34 4.0 0.9505166 0
+#> 3 age numerical rfsrc 34 7.0 0.9314135 0
+#> 4 age numerical rfsrc 34 8.0 0.9066210 0
+#> 5 age numerical rfsrc 34 10.0 0.8920943 0
+#> 6 age numerical rfsrc 34 12.0 0.8713509 0
plot(rsf_model_profile, variables = c("age", "celltype"), numerical_plot_type = "contours")
diff --git a/reference/model_profile_2d.surv_explainer-1.png b/reference/model_profile_2d.surv_explainer-1.png
index a1b58fa..251eb85 100644
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diff --git a/reference/model_profile_2d.surv_explainer-2.png b/reference/model_profile_2d.surv_explainer-2.png
index 3415cdb..bc919ec 100644
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diff --git a/reference/model_profile_2d.surv_explainer.html b/reference/model_profile_2d.surv_explainer.html
index 7bd1976..177c2ef 100644
--- a/reference/model_profile_2d.surv_explainer.html
+++ b/reference/model_profile_2d.surv_explainer.html
@@ -188,12 +188,12 @@ Examples
#> 5 age celltype numerical categorical 41.8333333333333 adeno 1.5
#> 6 age celltype numerical categorical 43.7916666666667 adeno 1.5
#> _label_ _yhat_
-#> 1 coxph 0.9728298
-#> 2 coxph 0.9732800
-#> 3 coxph 0.9737229
-#> 4 coxph 0.9741587
-#> 5 coxph 0.9745873
-#> 6 coxph 0.9750089
+#> 1 coxph 0.9706123
+#> 2 coxph 0.9710977
+#> 3 coxph 0.9715752
+#> 4 coxph 0.9720450
+#> 5 coxph 0.9725072
+#> 6 coxph 0.9729619
plot(cph_model_profile_2d)
#> Warning: Plot will be prepared for the median survial time. For another time point, set the value of `times`.
@@ -204,19 +204,19 @@ Examples
)
head(cph_model_profile_2d_ale$result)
#> _v1name_ _v2name_ _v1type_ _v2type_ _v1value_ _v2value_ _times_ _yhat_
-#> 1 age karno numerical numerical 34 10 1.5 0.9826099
-#> 2 age karno numerical numerical 34 10 4.0 0.9575688
-#> 3 age karno numerical numerical 34 10 7.0 0.9333803
-#> 4 age karno numerical numerical 34 10 8.0 0.9025179
-#> 5 age karno numerical numerical 34 10 10.0 0.8877701
-#> 6 age karno numerical numerical 34 10 12.0 0.8666934
+#> 1 age karno numerical numerical 34 20 1.5 0.9821463
+#> 2 age karno numerical numerical 34 20 4.0 0.9561551
+#> 3 age karno numerical numerical 34 20 7.0 0.9307331
+#> 4 age karno numerical numerical 34 20 8.0 0.8978583
+#> 5 age karno numerical numerical 34 20 10.0 0.8819841
+#> 6 age karno numerical numerical 34 20 12.0 0.8591286
#> _right_ _left_ _top_ _bottom_ _count_ _label_
-#> 1 36 34 10 20 0 coxph
-#> 2 36 34 10 20 0 coxph
-#> 3 36 34 10 20 0 coxph
-#> 4 36 34 10 20 0 coxph
-#> 5 36 34 10 20 0 coxph
-#> 6 36 34 10 20 0 coxph
+#> 1 38 34 20 25 0 coxph
+#> 2 38 34 20 25 0 coxph
+#> 3 38 34 20 25 0 coxph
+#> 4 38 34 20 25 0 coxph
+#> 5 38 34 20 25 0 coxph
+#> 6 38 34 20 25 0 coxph
plot(cph_model_profile_2d_ale)
#> Warning: Plot will be prepared for the median survial time. For another time point, set the value of `times`.
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index b45f95e..ee5b2f8 100644
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index 5922998..a4ec83b 100644
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diff --git a/reference/plot.aggregated_surv_shap.html b/reference/plot.aggregated_surv_shap.html
index 53c60c7..ec55c54 100644
--- a/reference/plot.aggregated_surv_shap.html
+++ b/reference/plot.aggregated_surv_shap.html
@@ -215,11 +215,8 @@ Examples
#> Observations with outlying SurvSHAP(t) values:
#> trt celltype karno diagtime age prior
#> 1 1 squamous 60 7 69 0
-#> 2 1 squamous 70 5 64 10
#> 3 1 squamous 60 3 38 0
-#> 4 1 squamous 60 9 63 10
#> 18 1 smallcell 40 2 35 0
-#> 19 1 smallcell 80 4 63 10
#> 127 2 large 70 15 68 10
#> 128 2 large 30 4 39 10
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index 68d779c..1ebf113 100644
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index 24573fb..2fd5c79 100644
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diff --git a/reference/plot.model_profile_2d_survival-1.png b/reference/plot.model_profile_2d_survival-1.png
index 948c89f..6072ad7 100644
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diff --git a/reference/plot.model_profile_2d_survival-2.png b/reference/plot.model_profile_2d_survival-2.png
index c8da471..1e59008 100644
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diff --git a/reference/plot.model_profile_2d_survival.html b/reference/plot.model_profile_2d_survival.html
index 0d29c4e..faeec03 100644
--- a/reference/plot.model_profile_2d_survival.html
+++ b/reference/plot.model_profile_2d_survival.html
@@ -172,19 +172,19 @@ Examples
)
head(cph_model_profile_2d$result)
#> _v1name_ _v2name_ _v1type_ _v2type_ _v1value_ _v2value_ _times_
-#> 1 age celltype numerical categorical 35 adeno 1.5
-#> 2 age celltype numerical categorical 36.5416666666667 adeno 1.5
-#> 3 age celltype numerical categorical 38.0833333333333 adeno 1.5
-#> 4 age celltype numerical categorical 39.625 adeno 1.5
-#> 5 age celltype numerical categorical 41.1666666666667 adeno 1.5
-#> 6 age celltype numerical categorical 42.7083333333333 adeno 1.5
+#> 1 age celltype numerical categorical 34 adeno 1.5
+#> 2 age celltype numerical categorical 35.9583333333333 adeno 1.5
+#> 3 age celltype numerical categorical 37.9166666666667 adeno 1.5
+#> 4 age celltype numerical categorical 39.875 adeno 1.5
+#> 5 age celltype numerical categorical 41.8333333333333 adeno 1.5
+#> 6 age celltype numerical categorical 43.7916666666667 adeno 1.5
#> _label_ _yhat_
-#> 1 coxph 0.9698524
-#> 2 coxph 0.9702453
-#> 3 coxph 0.9706333
-#> 4 coxph 0.9710162
-#> 5 coxph 0.9713943
-#> 6 coxph 0.9717676
+#> 1 coxph 0.9726739
+#> 2 coxph 0.9731259
+#> 3 coxph 0.9735706
+#> 4 coxph 0.9740081
+#> 5 coxph 0.9744384
+#> 6 coxph 0.9748619
plot(cph_model_profile_2d, variables = list(c("age", "celltype")), times = cph_exp$times[20])
@@ -194,19 +194,19 @@ Examples
)
head(cph_model_profile_2d_ale$result)
#> _v1name_ _v2name_ _v1type_ _v2type_ _v1value_ _v2value_ _times_ _yhat_
-#> 1 age karno numerical numerical 34 10 1.5 0.9808187
-#> 2 age karno numerical numerical 34 10 4.0 0.9529722
-#> 3 age karno numerical numerical 34 10 7.0 0.9258121
-#> 4 age karno numerical numerical 34 10 8.0 0.8907776
-#> 5 age karno numerical numerical 34 10 10.0 0.8738869
-#> 6 age karno numerical numerical 34 10 12.0 0.8495871
+#> 1 age karno numerical numerical 36 20 1.5 0.9828368
+#> 2 age karno numerical numerical 36 20 4.0 0.9576114
+#> 3 age karno numerical numerical 36 20 7.0 0.9326503
+#> 4 age karno numerical numerical 36 20 8.0 0.8999269
+#> 5 age karno numerical numerical 36 20 10.0 0.8839397
+#> 6 age karno numerical numerical 36 20 12.0 0.8607034
#> _right_ _left_ _top_ _bottom_ _count_ _label_
-#> 1 36 34 10 15 0 coxph
-#> 2 36 34 10 15 0 coxph
-#> 3 36 34 10 15 0 coxph
-#> 4 36 34 10 15 0 coxph
-#> 5 36 34 10 15 0 coxph
-#> 6 36 34 10 15 0 coxph
+#> 1 37 36 20 25 0 coxph
+#> 2 37 36 20 25 0 coxph
+#> 3 37 36 20 25 0 coxph
+#> 4 37 36 20 25 0 coxph
+#> 5 37 36 20 25 0 coxph
+#> 6 37 36 20 25 0 coxph
plot(cph_model_profile_2d_ale, times = cph_exp$times[c(10, 20)], marginalize_over_time = TRUE)
# }
diff --git a/reference/plot.model_profile_survival-1.png b/reference/plot.model_profile_survival-1.png
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diff --git a/reference/plot.surv_feature_importance-1.png b/reference/plot.surv_feature_importance-1.png
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diff --git a/reference/plot.surv_model_performance-1.png b/reference/plot.surv_model_performance-1.png
index fe4c5b4..1d68ab1 100644
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diff --git a/reference/plot.surv_model_performance_rocs-1.png b/reference/plot.surv_model_performance_rocs-1.png
index 2f1b66d..dcbc5ba 100644
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diff --git a/reference/plot.surv_shap-1.png b/reference/plot.surv_shap-1.png
index 19e7f50..c2abfe5 100644
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diff --git a/reference/predict.surv_explainer.html b/reference/predict.surv_explainer.html
index 4225468..31a7e5e 100644
--- a/reference/predict.surv_explainer.html
+++ b/reference/predict.surv_explainer.html
@@ -170,8 +170,8 @@ Examples
#> 0.7354128
predict(rsf_ranger_exp, veteran[1, ], output_type = "chf")[, 1:10]
-#> [1] 0.009623403 0.009623403 0.027945423 0.033625319 0.035069764 0.061802719
-#> [7] 0.067580103 0.073109355 0.073219245 0.075695435
+#> [1] 0.003423611 0.003423611 0.013874369 0.020623477 0.021181070 0.037540270
+#> [7] 0.038987288 0.043607269 0.059390098 0.059622656
diff --git a/reference/predict_parts.surv_explainer-2.png b/reference/predict_parts.surv_explainer-2.png
index 9cc602f..4279fd4 100644
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diff --git a/reference/predict_parts.surv_explainer.html b/reference/predict_parts.surv_explainer.html
index b598aa4..ab85706 100644
--- a/reference/predict_parts.surv_explainer.html
+++ b/reference/predict_parts.surv_explainer.html
@@ -205,10 +205,10 @@ Examples
type = "survlime"
)
head(cph_predict_parts_survlime$result)
-#> trt karno diagtime age prior
-#> 1 -0.002017738 -0.0009651749 -0.0001565814 0.0007578033 0.001391971
-#> celltypelarge celltypesmallcell celltypesquamous
-#> 1 -0.03618306 -0.002838358 -0.01624022
+#> trt karno diagtime age prior celltypelarge
+#> 1 0.03141601 -0.002646798 0.0004528845 0.002646209 0.002380806 -0.08812856
+#> celltypesmallcell celltypesquamous
+#> 1 -0.03838122 -0.09017215
plot(cph_predict_parts_survlime, type = "local_importance")
# }
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