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 <kim.nimon@gmail.com>, 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 = '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.

2.00 score 1 stars 454 downloads 14 mentions 19 exports 5 dependencies

Last updated 1 years agofrom:dffe21d76a. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-linuxNOTEApr 02 2025
R-4.4-linuxNOTEApr 02 2025

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

Dependencies:bootdigestmiscToolsplotrixyacca

Citation

To cite package ‘yhat’ in publications use:

Nimon K, Oswald F, Roberts. JK (2023). yhat: Interpreting Regression Effects. R package version 2.0-4, https://CRAN.R-project.org/package=yhat.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {yhat: Interpreting Regression Effects},
    author = {Kim Nimon and Fred Oswald and J. Kyle Roberts.},
    year = {2023},
    note = {R package version 2.0-4},
    url = {https://CRAN.R-project.org/package=yhat},
  }