blorr: Tools for Developing Binary Logistic Regression Models

Tools designed to make it easier for beginner and intermediate users to build and validate binary logistic regression models. Includes bivariate analysis, comprehensive regression output, model fit statistics, variable selection procedures, model validation techniques and a 'shiny' app for interactive model building.

Version: 0.1.0
Depends: R (≥ 3.3)
Imports: car, caret, checkmate, cli, clisymbols, crayon, descriptr, dplyr, e1071, ggplot2, glue, gridExtra, magrittr, purrr, Rcpp, rlang, scales, shiny, stats, tibble, utils
LinkingTo: Rcpp
Suggests: covr, grid, ineq, jsonlite, lubridate, knitr, readr, readxl, rmarkdown, shinyBS, shinythemes, stringr, tools, testthat, tidyr, vdiffr
Published: 2018-05-11
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind at gmail.com>
BugReports: https://github.com/rsquaredacademy/blorr/issues
License: MIT + file LICENSE
URL: URL: https://blorr.rsquaredacademy.com/, https://github.com/rsquaredacademy/blorr
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: blorr results

Downloads:

Reference manual: blorr.pdf
Vignettes: Bivariate Analysis
Package source: blorr_0.1.0.tar.gz
Windows binaries: r-devel: blorr_0.1.0.zip, r-release: blorr_0.1.0.zip, r-oldrel: blorr_0.1.0.zip
OS X binaries: r-release: blorr_0.1.0.tgz, r-oldrel: blorr_0.1.0.tgz

Linking:

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