Package: ggBoostedTrees 0.9.3

ggBoostedTrees: Visually Exploring Boosted Tree Models

Graphic elements for exploring boosted tree models fit with 'boostmtree' and 'BoostMLR', which implement Friedman's gradient descent boosting with multivariate tree base learners for longitudinal responses. Separates data extraction from rendering so that additional boosting backends can be added without changes to the plotting layer.

Authors:John Ehrlinger [aut, cre]

ggBoostedTrees_0.9.3.tar.gz
ggBoostedTrees_0.9.3.zip(r-4.7-any)ggBoostedTrees_0.9.3.zip(r-4.6-any)ggBoostedTrees_0.9.3.zip(r-4.5-any)
ggBoostedTrees_0.9.3.tgz(r-4.6-any)ggBoostedTrees_0.9.3.tgz(r-4.5-any)
ggBoostedTrees_0.9.3.tar.gz(r-4.7-any)ggBoostedTrees_0.9.3.tar.gz(r-4.6-any)
ggBoostedTrees_0.9.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ggBoostedTrees/json (API)

# Install 'ggBoostedTrees' in R:

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

Bug tracker:https://github.com/ehrlinger/ggboostedtrees/issues

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

On CRAN:

quarto

3.54 score 8 scripts 7 exports 71 dependencies

Last updated from:8b6a2396dd. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	157
source / vignettes	OK	419
linux-release	OK	212
macos-release	OK	200
macos-oldrel	OK	139
windows-devel	OK	191
windows-release	OK	151
windows-oldrel	OK	138
wasm-release	OK	113

Exports:boostmlr_partial gg_boost_calibration gg_boost_effect gg_boost_error gg_boost_path gg_boost_trajectory gg_boost_vimp

Dependencies:base64enc bit bit64 boostmtree bslib cachem cli clipr cpp11 crayon data.tree DiagrammeR digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gtable highr hms htmltools htmlwidgets igraph isoband jquerylib jsonlite knitr labeling lattice lifecycle magrittr Matrix memoise mime nlme pillar pkgconfig prettyunits progress purrr R6 randomForestSRC rappdirs RColorBrewer readr rlang rmarkdown rstudioapi S7 sass scales stringi stringr tibble tidyr tidyselect tinytex tzdb utf8 vctrs viridisLite visNetwork vroom withr xfun yaml

Getting Started with ggBoostedTrees

Rendered fromggBoostedTrees.qmdusingquarto::html

Last update: 2026-10-19
Started: 2026-10-08

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Plot a boostmtree fit	autoplot.boostmtree
Plot a 'gg_boost_calibration' object	autoplot.gg_boost_calibration plot.gg_boost_calibration
Plot a 'gg_boost_effect' object	autoplot.gg_boost_effect plot.gg_boost_effect
Plot a 'gg_boost_error' object	autoplot.gg_boost_error plot.gg_boost_error
Plot a 'gg_boost_path' object	autoplot.gg_boost_path plot.gg_boost_path
Plot a 'gg_boost_trajectory' object	autoplot.gg_boost_trajectory plot.gg_boost_trajectory
Plot a 'gg_boost_vimp' object	autoplot.gg_boost_vimp plot.gg_boost_vimp
Partial effects from a BoostMLR fit	boostmlr_partial
Calibration over follow-up data object	gg_boost_calibration
Partial and marginal effect data object	gg_boost_effect
Boosting error trajectory data object	gg_boost_error
Boosting parameter path data object	gg_boost_path
Subject trajectory data object	gg_boost_trajectory
Variable importance data object	gg_boost_vimp