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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: |
0.3.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
car, data.table, ggplot2, gridExtra, lest, Rcpp, stats, utils |
| LinkingTo: |
Rcpp |
| Suggests: |
covr, grid, ineq, knitr, magrittr, rmarkdown, testthat, vdiffr, xplorerr |
| Published: |
2020-05-28 |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=blorr
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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