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.
|Author||Aravind Hebbali [aut, cre]|
|Maintainer||Aravind Hebbali <[email protected]>|
|License||MIT + file LICENSE|
|URL||URL: https://blorr.rsquaredacademy.com/ https://github.com/rsquaredacademy/blorr|
|Package repository||View on CRAN|
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