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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 |
| 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.
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