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: 0.2.1
Depends: R (≥ 3.3)
Imports: car, caret, checkmate, cli, clisymbols, crayon, dplyr, e1071, ggplot2, glue, gridExtra, magrittr, purrr, Rcpp, rlang, scales, shiny, stats, tibble, utils
LinkingTo: Rcpp
Suggests: covr, descriptr, grid, ineq, jsonlite, lubridate, knitr, readr, readxl, rmarkdown, shinyBS, shinythemes, stringr, testthat, tidyr, vdiffr
Published: 2019-03-12
Author: Aravind Hebbali ORCID iD [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: A Short Introduction to the blorr Package
Package source: blorr_0.2.1.tar.gz
Windows binaries: r-devel: blorr_0.2.1.zip, r-devel-gcc8: blorr_0.2.1.zip, r-release: blorr_0.2.1.zip, r-oldrel: blorr_0.2.1.zip
OS X binaries: r-release: blorr_0.2.1.tgz, r-oldrel: blorr_0.2.1.tgz
Old sources: blorr archive

Reverse dependencies:

Reverse suggests: xplorerr

Linking:

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