Package: EffectStars 1.9-2

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 [aut, cre]

EffectStars_1.9-2.tar.gz
EffectStars_1.9-2.zip(r-4.7-any)EffectStars_1.9-2.zip(r-4.6-any)EffectStars_1.9-2.zip(r-4.5-any)
EffectStars_1.9-2.tgz(r-4.6-any)EffectStars_1.9-2.tgz(r-4.5-any)
EffectStars_1.9-2.tar.gz(r-4.7-any)EffectStars_1.9-2.tar.gz(r-4.6-any)
EffectStars_1.9-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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.

1.15 score 14 scripts 382 downloads 3 exports 1 dependencies

Last updated from:75e71551d8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK134
source / vignettesOK186
linux-releaseOK126
macos-releaseOK120
macos-oldrelOK96
windows-develOK80
windows-releaseOK80
windows-oldrelOK59
wasm-releaseOK94

Exports:star.cumulativestar.nominalstar.sequential

Dependencies:VGAM