Package: explainer 1.0.2

Ramtin Zargari Marandi

explainer: Machine Learning Model Explainer

It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.

Authors:Ramtin Zargari Marandi [aut, cre]

explainer_1.0.2.tar.gz
explainer_1.0.2.zip(r-4.7)explainer_1.0.2.zip(r-4.6)explainer_1.0.2.zip(r-4.5)
explainer_1.0.2.tgz(r-4.6-any)explainer_1.0.2.tgz(r-4.5-any)
explainer_1.0.2.tar.gz(r-4.7-any)explainer_1.0.2.tar.gz(r-4.6-any)
explainer_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
explainer/json (API)

# Install 'explainer' in R:

install.packages('explainer', repos = c('https://persimune.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/persimune/explainer/issues

Pkgdown/docs site:https://persimune.github.io

On CRAN:

ai ai-pipeline ai-tools classification clinical-research explainability explainable-ai interpretability machine-learning machine-learning-pipelines ml-tools regression shap statistics

5.67 score 21 stars 15 scripts 205 downloads 13 exports 156 dependencies

Last updated from:627d068d40. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	191
source / vignettes	OK	219
linux-release-x86_64	WARNING	191
macos-release-arm64	WARNING	169
macos-oldrel-arm64	WARNING	184
windows-devel	WARNING	174
windows-release	WARNING	129
windows-oldrel	WARNING	120
wasm-release	OK	165

Exports:eCM_plot eDecisionCurve eFairness ePerformance eROC_plot eSHAP_plot eSHAP_plot_multiclass eSHAP_plot_reg range01 regressmdl_eval SHAPclust ShapFeaturePlot ShapPartialPlot

Dependencies:abind askpass backports base64enc bayestestR bitops boot broom bslib cachem car carData caTools checkmate class cli clock codetools colorspace confintr corrplot cowplot cpp11 crosstalk curl cvms data.table datawizard Deriv diagram digest doBy dplyr egg evaluate farver fastmap fontawesome forecast Formula fracdiff fs future future.apply generics ggplot2 ggpmisc ggpp ggpubr ggrepel ggsci ggsignif globals glue gower gridExtra groupdata2 gtable hardhat highr htmltools htmlwidgets httr insight ipred isoband jquerylib jsonlite KernSmooth knitr labeling later lattice lava lazyeval lifecycle listenv lme4 lmtest lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr MuMIn nlme nloptr nnet numbers numDeriv openssl otel parallelly parameters pbkrtest pillar pkgconfig plotly plyr polynom pROC prodlim progressr promises purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack rearrr recipes reformulas rlang rmarkdown rpart rstatix S7 sass scales shape SparseM sparsevctrs splus2R SQUAREM stringi stringr survival sys tibble tidyr tidyselect timechange timeDate tinytex tzdb urca utf8 vctrs viridisLite withr writexl xfun xts yaml zoo

explainer-vignette

Rendered fromexplainer-vignette.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2024-09-23
Started: 2024-09-23

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Enhanced Confusion Matrix Plot	eCM_plot
Decision Curve Plot	eDecisionCurve
Enhanced Fairness Analysis	eFairness
Enhanced Performance Evaluation	ePerformance
Enhanced ROC and Precision-Recall Plots	eROC_plot
Enhanced SHAP Analysis for Regression Models	eSHAP_plot_reg
SHAP clustering	SHAPclust
SHAP Values versus Feature Values	ShapFeaturePlot
SHAP Partial Plot	ShapPartialPlot