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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:dffe21d76a. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-linux | NOTE | Dec 03 2024 |
Exports:apsboot.yhatbooteval.yhatcalc.yhatcanonCommonalitycanonVariateci.yhatcombCIcommonalitycommonalityCoefficientsdombindominanceeffect.sizegenListoddplotCI.yhatregrrlwsetBits
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Interpreting Regression Effects | yhat-package yhat |
All Possible Subsets Regression | aps |
Bootstrap metrics produced from /codecalc.yhat | boot.yhat |
Evaluate bootstrap metrics produced from /codecalc.yhat | booteval.yhat |
More regression indices for lm class objects | calc.yhat |
Commonality Coefficents for Canonical Correlation | canonCommonality |
Canonical Commonality Analysis | canonVariate |
Compute CI | ci.yhat |
Combine upper and lower confidence intervals | combCI |
Commonality Analysis | commonality |
Commonality Coefficents | commonalityCoefficients |
Dominance Analysis | dombin |
Dominance Weights | dominance |
Effect Size Computation for lm | effect.size |
Generate List R^2 Values | genList |
isOdd Function | odd |
Plot CIs from yhat | plotCI.yhat |
Regression effect reporting for lm class objects | regr |
Relative Weights | rlw |
Decimal to Binary | setBits |