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standardize: Tools for Standardizing Variables for Regression in R

Tools which allow regression variables to be placed on similar scales, offering computational benefits as well as easing interpretation of regression output.

Version:0.2.2
Depends:R (≥ 3.6.0)
Imports:lme4,MASS, methods, stats,stringr
Suggests:afex,emmeans,knitr,lmerTest,rmarkdown,testthat
Published:2021-03-05
DOI:10.32614/CRAN.package.standardize
Author:Christopher D. Eager [aut, cre]
Maintainer:Christopher D. Eager <eager.stats at gmail.com>
BugReports:https://github.com/CDEager/standardize/issues
License:GPL (≥ 3)
URL:https://github.com/CDEager/standardize
NeedsCompilation:no
Citation:standardize citation info
Materials:README,NEWS
CRAN checks:standardize results

Documentation:

Reference manual:standardize.html ,standardize.pdf
Vignettes:Using the standardize package (source,R code)

Downloads:

Package source: standardize_0.2.2.tar.gz
Windows binaries: r-devel:standardize_0.2.2.zip, r-release:standardize_0.2.2.zip, r-oldrel:standardize_0.2.2.zip
macOS binaries: r-release (arm64):standardize_0.2.2.tgz, r-oldrel (arm64):standardize_0.2.2.tgz, r-release (x86_64):standardize_0.2.2.tgz, r-oldrel (x86_64):standardize_0.2.2.tgz
Old sources: standardize archive

Reverse dependencies:

Reverse imports:Countr

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=standardizeto link to this page.


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