Package: olsrr
Type: Package
Title: Tools for Building OLS Regression Models
Version: 0.5.2
Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"))
Description: 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.
Depends: R(>= 3.3)
Imports: car, checkmate, cli, clisymbols, crayon, dplyr, ggplot2, gh,
        glue, goftest, graphics, gridExtra, magrittr, nortest, purrr,
        Rcpp, recipes (>= 0.1.4), rlang, shiny, stringr, tibble, tidyr
Suggests: caret, covr, descriptr, grid, haven, jsonlite, knitr,
        lubridate, readr, readxl, rmarkdown, scales, shinyBS,
        shinythemes, testthat, tools, vdiffr
License: MIT + file LICENSE
URL: https://olsrr.rsquaredacademy.com/,
        https://github.com/rsquaredacademy/olsrr
BugReports: https://github.com/rsquaredacademy/olsrr/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2018-11-22 13:37:38 UTC; HP
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2018-11-22 17:30:03 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 23:05:03 UTC; windows
Archs: i386, x64
