inst/doc/trim-overview.R

In trim: Tree methods for classification of imbalanced data

## @knitr 
library(trim)
data(iris)


## @knitr tidy=FALSE
distribution(
  wvc(iris$Species, weights=c(rep(1,50), rep(0,100))),
  p.estimator = NA
)


## @knitr tidy=FALSE
distribution(
  wvc(iris$Species, weights=c(rep(1,50), rep(0,100))),
  p.estimator = p.estimator.laplace
)