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

Documentation:

Reference manual:	standardize.pdf
Vignettes:	Using the standardize package

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:

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