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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 |
Please use the canonical form https://CRAN.R-project.org/package=olsrr to link to this page.
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.