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survex 1.2.0

• added new calculation_method for surv_shap() called "treeshap" that uses the treeshap package (#75)
• enable to calculate SurvSHAP(t) explanations based on subsample of the explainer’s data
• changed default kernel width in SurvLIME from sqrt(p * 0.75) to sqrt(p) * 0.75
• fixed error in SurvLIME when non-factor categorical_variables were provided

survex 1.1.3

• fixed not being able to plot or print SurvLIME results for the cph model sometimes. (#72)
• added global explanations via the SurvSHAP(t) method (see model_survshap() function)
• added plots for global SurvSHAP(t) explanations (see plot.aggregated_surv_shap())
• added Accumulated Local Effects (ALE) explanations (see model_profile(..., type = "accumulated"))
• added 2-dimensional PDP and ALE plots (see model_profile_2d() function)
• added plot(..., geom="variable") function for plotting PDP and ALE explanations without the time dimension
• new explainers: for flexsurv models and for Python scikit-survival models (can be used with reticulate)
• new plot type for model_survshap() - curves (with functional box plot)
• added diagnostic explanations - residual analysis (see model_diagnostics() function)
• added new times generation method "survival_quantiles" and setting it as default (see explain())
• made improvements on the vignettes for the package (see vignette("pdp") and vignette("global-survshap"))
• increased the test coverage of the package
• reduced the number of expensive requireNamespace() calls (#83)

survex 1.0.0

• breaking change: refactored the structure of model_performance_survival object - calculated metrics are now in a $result list.
• added new calculation_method for surv_shap() called "kernelshap" that use kernelshap package and its implementation of improved Kernel SHAP (set as default) (#45)
• rename old method "kernel" to "exact_kernel"
• added new import (kernelshap package)
• fixed invalid color palette order in plot feature importance
• fixed predict_parts survshap running out of memory with more than 16 variables (#25)
• added max_vars parameter for predict_parts explanations (#27)
• set max_vars to 7 for every method
  
• refactored survshap code (#29, #30, #43)
• fixed survshap error when target columns named different than time and status (#44)
• fixed survlime error when all variables are categorical (#46)
• fixed subtitles in feature importance plots (#11)
• added the possibility to set themes with set_theme_survex() (#32)
• added the possibility of plotting multiple predict_parts() and model_parts() explanations in one plot (#12)
• fixed the x axis of plots (it now starts from 0) (#37)
• added geom_rug() to all time-dependent plots, marking event and censoring times (#35)
• refactored surv_feature_importance.R - change auxiliary columns to include _ in their name. Necessary changes also done to plotting and printing functions. (#28)
• changed default type argument of model_parts() to "difference" (#33)
• refactored integration of metrics (#31)
• changed behaviour of categorical_variables argument in model_parts() and predict_parts(). If it contains variable names not present in the variables argument, they will be added at the end. (#39)
• added ROC AUC calculation and plotting for selected timepoints in model_performance() (#22)
• added explanation_label parameter to predict_parts() function that can overwrite explainer label and thus, enable plotting multiple local SurvSHAP(t) explanations. (#47)
• improved the printing of the explainer (#36)
• reduced the default number of time points for evaluation when creating the explainer to 50

survex 0.2.2

• improved and unified API documentation (#2)
• added references to used methods (#5)
• changed the package used to draw complex plots from gridExtra to patchwork (#7)
• fixed subtitles in plots (#11)
• fixed calculating of ROC curves for classification problems (#17)
• added wrapper function for measures provided by mlr3proba (#10)
• created vignette showing how to use mlr3proba with survex
• fixed incompatibility with new ggplot2 version 3.4
• added function for creating integrated versions of time-dependent metrics (#9)
• move ingredients from imports to suggests

survex 0.1.1

• The survex package is now public
• model_parts, model_profile, predict_parts, predict_profile explanations implemented
• C/D AUC, Brier score and (Harrell’s) concordance index performance measures implemented
• Explain methods for survival, ranger, randomForestSRC, censored and mlr3proba packages.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.