Package: glex 0.5.2

Marvin N. Wright

glex: Global Explanations for Tree-Based Models

Global explanations for tree-based models by decomposing regression or classification functions into the sum of main components and interaction components of arbitrary order. Calculates SHAP values and q-interaction SHAP for all values of q for tree-based models such as xgboost.

Authors:Marvin N. Wright [aut, cre], Joseph Theo Meyer [aut], Munir Hiabu [aut], Lukas Burk [aut], Jinyang Liu [aut]

glex_0.5.2.tar.gz
glex_0.5.2.zip(r-4.7)glex_0.5.2.zip(r-4.6)glex_0.5.2.zip(r-4.5)
glex_0.5.2.tgz(r-4.6-x86_64)glex_0.5.2.tgz(r-4.6-arm64)glex_0.5.2.tgz(r-4.5-x86_64)glex_0.5.2.tgz(r-4.5-arm64)
glex_0.5.2.tar.gz(r-4.7-arm64)glex_0.5.2.tar.gz(r-4.7-x86_64)glex_0.5.2.tar.gz(r-4.6-arm64)glex_0.5.2.tar.gz(r-4.6-x86_64)
glex_0.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
glex/json (API)
NEWS

# Install 'glex' in R:

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

Bug tracker:https://github.com/plantedml/glex/issues

Pkgdown/docs site:https://plantedml.com

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

bike - Bikesharing data

On CRAN:

cpp

5.00 score 7 stars 32 scripts 10 exports 30 dependencies

Last updated from:f2fd40abb7. Checks:11 OK, 2 ERROR. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	168
linux-devel-x86_64	OK	182
source / vignettes	OK	324
linux-release-arm64	OK	182
linux-release-x86_64	OK	167
macos-release-arm64	OK	184
macos-release-x86_64	OK	398
macos-oldrel-arm64	OK	234
macos-oldrel-x86_64	OK	532
windows-devel	ERROR	155
windows-release	ERROR	151
windows-oldrel	OK	153
wasm-release	OK	125

Exports:glex glex_explain glex_vi plot_main_effect plot_pdp plot_threeway_effects plot_twoway_effects subset_component_names subset_components theme_glex

Dependencies:backports checkmate cli codetools cpp11 crayon data.table farver foreach ggplot2 glue gtable hms isoband iterators labeling lifecycle pkgconfig prettyunits progress R6 RColorBrewer Rcpp rlang S7 scales scico vctrs viridisLite withr

glex

Rendered fromglex.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2023-02-24
Started: 2023-02-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Plot Prediction Components	autoplot.glex plot_main_effect plot_threeway_effects plot_twoway_effects
Plot glex Variable Importances	autoplot.glex_vi
Bikesharing data	bike
Global explanations for tree-based models.	glex glex.default glex.ranger glex.rpf glex.xgb.Booster
Explain a single prediction	glex_explain
Variable Importance for Main and Interaction Terms	glex_vi
Partial Dependence Plot	plot_pdp
Print glex objects	print.glex
Subset components	subset_components subset_component_names
A ggplot2 theme for glex plots	theme_glex