Type: Package
Package: randomForestVIP
Title: Tune Random Forests Based on Variable Importance and Plot
Results
Version: 0.1.3.9000
Authors@R: c(person("Kelvyn", "Bladen", role = c("aut", "cre"),
email = "kelvyn.bladen@usu.edu"),
person(given=c("D.", "Richard"), "Cutler", role = "aut"))
Description: Functions for assessing variable relations and
associations prior to modeling with a Random Forest algorithm
(although these are relevant for any predictive model). Metrics
such as partial correlations and variance inflation factors are
tabulated as well as plotted for the user. A function is
available for tuning the main Random Forest hyper-parameter
based on model performance and variable importance metrics.
This grid-search technique provides tables and plots showing
the effect of the main hyper-parameter on each of the
assessment metrics. It also returns each of the evaluated
models to the user. The package also provides superior variable
importance plots for individual models. All of the plots are
developed so that the user has the ability to edit and improve
further upon the plots. Derivations and methodology are
described in Bladen (2022)
.
License: GPL-3
URL: https://github.com/KelvynBladen/randomForestVIP
Depends: R (>= 4.1.0)
Imports: car, caret, dplyr, gbm, ggeasy, ggplot2, gridExtra, methods,
minerva, pdp, randomForest, rlang, stats, tidyr, trelliscopejs
Suggests: EZtune, e1071, knitr, MASS, rmarkdown, rpart, testthat (>=
3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Config/pak/sysreqs: cmake make libmagick++-dev gsfonts libicu-dev
libsodium-dev libuv1-dev libx11-dev
Repository: https://kelvynbladen.r-universe.dev
Date/Publication: 2023-12-01 20:04:42 UTC
RemoteUrl: https://github.com/kelvynbladen/randomforestvip
RemoteRef: HEAD
RemoteSha: b9c5f647bc455cf3eff2eb6225d5acae83f7caa6
NeedsCompilation: no
Packaged: 2026-10-10 14:10:47 UTC; root
Author: Kelvyn Bladen [aut, cre],
D. Richard Cutler [aut]
Maintainer: Kelvyn Bladen