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
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

Downloads:

Reference manual: standardize.pdf
Vignettes: Using the standardize package
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-release (x86_64): standardize_0.2.2.tgz, r-oldrel: standardize_0.2.2.tgz
Old sources: standardize archive

Reverse dependencies:

Reverse imports: Countr

Linking:

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