Package: yhat 2.0-5

Kim Nimon

yhat: Interpreting Regression Effects

The purpose of this package is to provide methods to interpret multiple linear regression and canonical correlation results including beta weights,structure coefficients, validity coefficients, product measures, relative weights, all-possible-subsets regression, dominance analysis, commonality analysis, and adjusted effect sizes.

Authors:Kim Nimon [aut, cre], Fred Oswald [aut], J. Kyle Roberts [aut]

yhat_2.0-5.tar.gz
yhat_2.0-5.zip(r-4.7-any)yhat_2.0-5.zip(r-4.6-any)
yhat_2.0-5.tar.gz(r-4.7-any)yhat_2.0-5.tar.gz(r-4.6-any)
yhat_2.0-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
yhat/json (API)

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

On CRAN:

Conda:

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

2.90 score 1 stars 79 scripts 504 downloads 14 mentions 19 exports 5 dependencies

Last updated from:3beef32b28. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK168
linux-releaseOK121
windows-develOK97
windows-releaseOK121
wasm-releaseOK110

Exports:apsboot.yhatbooteval.yhatcalc.yhatcanonCommonalitycanonVariateci.yhatcombCIcommonalitycommonalityCoefficientsdombindominanceeffect.sizegenListoddplotCI.yhatregrrlwsetBits

Dependencies:bootdigestmiscToolsplotrixyacca