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'))

On CRAN:

Conda-Forge:

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

2.00 score 1 stars 522 downloads 14 mentions 19 exports 5 dependencies

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

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-linuxNOTEMar 03 2025

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

Dependencies:bootdigestmiscToolsplotrixyacca