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| -rw-r--r-- | gnu/packages/cran.scm | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 66205781b1..43e4cf416b 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -31863,6 +31863,42 @@ Mardia, K.V. (2016). Statistical shape analysis, with Applications in R (2nd Edition), John Wiley and Sons.") (license license:gpl2))) +(define-public r-shapviz + (package + (name "r-shapviz") + (version "0.9.3") + (source + (origin + (method url-fetch) + (uri (cran-uri "shapviz" version)) + (sha256 + (base32 "01zq6kr5na40xgypif6sv2pjynhva9v0npx779k7fxck1db68z80")))) + (properties `((upstream-name . "shapviz"))) + (build-system r-build-system) + (propagated-inputs (list r-ggfittext + r-gggenes + r-ggplot2 + r-ggrepel + r-patchwork + r-rlang + r-xgboost)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/ModelOriented/shapviz") + (synopsis "SHAP visualizations") + (description + "This package provides visualizations for SHAP (SHapley Additive +exPlanations) such as waterfall plots, force plots, various types of +importance plots, dependence plots, and interaction plots. These plots act on +a @code{shapviz} object created from a matrix of SHAP values and a +corresponding feature dataset. Wrappers for the R packages @code{xgboost}, +@code{lightgbm}, @code{fastshap}, @code{shapr}, @code{h2o}, @code{treeshap}, +@code{DALEX}, and @code{kernelshap} are added for convenience. By separating +visualization and computation, it is possible to display factor variables in +graphs, even if the SHAP values are calculated by a model that requires +numerical features. The plots are inspired by those provided by the +@code{shap} package in Python, but there is no dependency on it.") + (license license:gpl2+))) + (define-public r-animation (package (name "r-animation") |