Learn R Programming

CatPredi (version 1.3)

Optimal Categorisation of Continuous Variables in Prediction Models

Description

Allows the user to categorise a continuous predictor variable in a logistic or a Cox proportional hazards regression setting, by maximising the discriminative ability of the model. I Barrio, I Arostegui, MX Rodriguez-Alvarez, JM Quintana (2015) . I Barrio, MX Rodriguez-Alvarez, L Meira-Machado, C Esteban, I Arostegui (2017) .

Copy Link

Version

Install

install.packages('CatPredi')

Monthly Downloads

177

Version

1.3

License

GPL

Maintainer

Irantzu Barrio

Last Published

January 10th, 2022

Functions in CatPredi (1.3)

comp.cutpoints

Selection of optimal number of cut points
catpredi

Function to obtain optimal cut points to categorise a continuous predictor variable in a logistic regression model
controlcatpredi

Control function
comp.cutpoints.survival

Selection of optimal number of cut points
controlcatpredi.survival

Control function
plot.catpredi

Plot the optimal cut points.
summary.catpredi.survival

Summary method for objects of class "catpredi.survival"
plot.catpredi.survival

Plot the optimal cut points.
summary.catpredi

Summary method for catpredi objects
catpredi.survival

Function to obtain optimal cut points to categorise a continuous predictor variable in a Cox proportional hazards regression model
CatPredi-package

Categorisation of Continuous Predictor Variables in Regression Models.