olsrr: Tools for Building OLS Regression Models (original) (raw)
Tools designed to make it easier for users, particularly beginner/intermediate R users to build ordinary least squares regression models. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
| Version: | 0.6.1 |
|---|---|
| Depends: | R (≥ 3.3) |
| Imports: | car, ggplot2, goftest, graphics, gridExtra, nortest, stats, utils, xplorerr |
| Suggests: | covr, descriptr, knitr, rmarkdown, testthat, vdiffr |
| Published: | 2024-11-06 |
| DOI: | 10.32614/CRAN.package.olsrr |
| Author: | Aravind Hebbali [aut, cre] |
| Maintainer: | Aravind Hebbali <hebbali.aravind at gmail.com> |
| BugReports: | https://github.com/rsquaredacademy/olsrr/issues |
| License: | MIT + file |
| URL: | https://olsrr.rsquaredacademy.com/,https://github.com/rsquaredacademy/olsrr |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | olsrr results |
Documentation:
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