Package: EffectStars 1.9-1

EffectStars: Visualization of Categorical Response Models

Notice: The package EffectStars2 provides a more up-to-date implementation of effect stars! EffectStars provides functions to visualize regression models with categorical response as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. The effects of the variables are plotted with star plots in order to allow for an optical impression of the fitted model.

Authors:Gunther Schauberger

EffectStars_1.9-1.tar.gz
EffectStars_1.9-1.zip(r-4.7)EffectStars_1.9-1.zip(r-4.6)EffectStars_1.9-1.zip(r-4.5)
EffectStars_1.9-1.tgz(r-4.6-any)EffectStars_1.9-1.tgz(r-4.5-any)
EffectStars_1.9-1.tar.gz(r-4.7-any)EffectStars_1.9-1.tar.gz(r-4.6-any)
EffectStars_1.9-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
EffectStars/json (API)

# Install 'EffectStars' in R:
install.packages('EffectStars', repos = c('https://schaubert.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.18 score 15 scripts 208 downloads 3 exports 1 dependencies

Last updated from:91043e6ef3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK150
linux-release-x86_64OK111
macos-release-arm64OK130
macos-oldrel-arm64OK87
windows-develOK84
windows-releaseOK100
windows-oldrelOK73
wasm-releaseOK87

Exports:star.cumulativestar.nominalstar.sequential

Dependencies:VGAM