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 LICENSE |
| URL: | https://olsrr.rsquaredacademy.com/, https://github.com/rsquaredacademy/olsrr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | olsrr results |
| Reference manual: | olsrr.pdf |
| Vignettes: |
Heteroscedasticity (source, R code) Measures of Influence (source, R code) Introduction to olsrr (source, R code) Media (source) Collinearity Diagnostics, Model Fit & Variable Contribution (source, R code) Residual Diagnostics (source, R code) Variable Selection Methods (source, R code) |
| Package source: | olsrr_0.6.1.tar.gz |
| Windows binaries: | r-devel: olsrr_0.6.1.zip, r-release: olsrr_0.6.1.zip, r-oldrel: olsrr_0.6.1.zip |
| macOS binaries: | r-release (arm64): olsrr_0.6.1.tgz, r-oldrel (arm64): olsrr_0.6.1.tgz, r-release (x86_64): olsrr_0.6.1.tgz, r-oldrel (x86_64): olsrr_0.6.1.tgz |
| Old sources: | olsrr archive |
| Reverse imports: | AFR, HanStat, pprof, SQI |
| Reverse suggests: | xplorerr |
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