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>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: blorr results


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


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