olsrr: Tools for Building OLS Regression Models

Tools for building OLS regression models . Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.

Version: 0.4.0
Depends: R (≥ 3.2.4)
Imports: dplyr, ggplot2, goftest, graphics, gridExtra, magrittr, nortest, purrr, Rcpp, shiny, tibble, tidyr, stringr, recipes, glue, rlang
LinkingTo: Rcpp
Suggests: caret, covr, descriptr, grid, haven, jsonlite, knitr, lubridate, readr, readxl, rmarkdown, scales, shinyBS, shinythemes, testthat, tools, vdiffr
Published: 2017-12-05
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://rsquaredacademy.github.io/olsrr/, https://github.com/rsquaredacademy/olsrr
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: olsrr results


Reference manual: olsrr.pdf
Vignettes: Heteroscedasticity
Measures of Influence
Introduction to olsrr
Introduction to olsrr
Collinearity Diagnostics, Model Fit & Variable Contribution
Residual Diagnostics
Variable Selection Methods
Package source: olsrr_0.4.0.tar.gz
Windows binaries: r-devel: olsrr_0.4.0.zip, r-release: olsrr_0.4.0.zip, r-oldrel: olsrr_0.4.0.zip
OS X El Capitan binaries: r-release: olsrr_0.4.0.tgz
OS X Mavericks binaries: r-oldrel: olsrr_0.4.0.tgz
Old sources: olsrr archive


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