Package: yhat 2.0-4

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 <[email protected]>, Fred Oswald, and J. Kyle Roberts.

yhat_2.0-4.tar.gz
yhat_2.0-4.tar.gz(r-4.5-noble)yhat_2.0-4.tar.gz(r-4.4-noble)
yhat_2.0-4.tgz(r-4.4-emscripten)yhat_2.0-4.tgz(r-4.3-emscripten)
yhat.pdf |yhat.html
yhat/json (API)

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

Peer review:

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

2.73 score 1 stars 54 scripts 408 downloads 14 mentions 19 exports 5 dependencies

Last updated 1 years agofrom:dffe21d76a. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linuxNOTENov 03 2024

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

Dependencies:bootdigestmiscToolsplotrixyacca