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.

19 exports 1 stars 2.70 score 5 dependencies 14 mentions 53 scripts 350 downloads

Last updated 11 months agofrom:dffe21d76a. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-linuxNOTESep 04 2024

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

Dependencies:bootdigestmiscToolsplotrixyacca