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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 |
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-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 imports: | Countr |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.