R: Optimal Categorisation of Continuous Variables in Prediction Models

# Optimal Categorisation of Continuous Variables in Prediction Models

## Documentation for package ‘CatPredi’ version 2.0

- DESCRIPTION file

## Help Pages

catpredi | Function to obtain optimal cut points to categorise a continuous predictor variable in a logistic regression model
catpredi.survival | Function to obtain optimal cut points to categorise a continuous predictor variable in a Cox proportional hazards regression model
comp.cutpoints | Selection of optimal number of cut points
comp.cutpoints.survival | Selection of optimal number of cut points
compare.AUC.ht | A bootstrap-based hypothesis test to select the best number of categories for a continuous predictor variable in a logistic regression model
controlcatpredi | Control function
controlcatpredi.survival | Control function
plot.catpredi | Plot the optimal cut points.
plot.catpredi.survival | Plot the optimal cut points.
summary.catpredi | Summary method for catpredi objects
summary.catpredi.survival | Summary method for objects of class "catpredi.survival"