olsrr: Tools for Building OLS Regression Models
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: |
0.5.3 |
Depends: |
R (≥ 3.3) |
Imports: |
car, data.table, ggplot2, goftest, graphics, gridExtra, nortest, Rcpp, stats, utils |
LinkingTo: |
Rcpp |
Suggests: |
covr, descriptr, knitr, rmarkdown, testthat, vdiffr, xplorerr |
Published: |
2020-02-10 |
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: |
yes |
Materials: |
README NEWS |
CRAN checks: |
olsrr results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=olsrr
to link to this page.