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: 0.2.0
Depends: R (≥ 3.3.3)
Imports: stats, methods, MASS (≥ 7.3-45), lme4 (≥ 1.1-12), stringr (≥ 1.2.0)
Suggests: testthat, knitr, rmarkdown, afex (≥ 0.17-8), lsmeans (≥ 2.25-5), lmerTest (≥ 2.0-33)
Published: 2017-05-28
Author: Christopher D. Eager [aut, cre]
Maintainer: Christopher D. Eager <eagerstats 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_0.2.0.tar.gz
Windows binaries: r-devel: standardize_0.1.1.zip, r-release: standardize_0.1.1.zip, r-oldrel: not available
OS X El Capitan binaries: r-release: standardize_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: standardize archive

Reverse dependencies:

Reverse depends: nauf

Linking:

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