miv.select: A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.

#' @import dplyr
#' @import ggplot2
dependencies <- function(){
  # This is a placeholder function to take care of importing whole packages that
  # are reused across the codebase

  NULL
}

louis-vines/miv.select documentation built on May 5, 2019, 9:19 a.m.

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louis-vines/miv.select
A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.

R/dependencies.R
In louis-vines/miv.select: A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.

Defines functions dependencies

R Package Documentation

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louis-vines/miv.select A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.

R/dependencies.R In louis-vines/miv.select: A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.

Defines functions dependencies

R Package Documentation

Browse R Packages

We want your feedback!

louis-vines/miv.select
A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.

R/dependencies.R
In louis-vines/miv.select: A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.