transformCatCov: Transform covariates

In belhal/saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

Description

Regroup categorical covariates

Usage

transformCatCov(object, covariate, group, reference, verbose = FALSE)

Arguments

object	saemixData object
covariate	name of the covariate
group	a vector giving the categories to which the initial values of the covariates should be mapped. If the resulting covariate is binary, it will be stored as 0/1. If it has more than 2 categories, dummy covariates will be created for the analysis.
reference	the reference group
verbose	a boolean, prints messages during the execution of the function if TRUE. Defaults to FALSE.

Value

an object of class "SaemixData"

Examples

# TODO

belhal/saemix documentation built on Sept. 10, 2019, 8:07 a.m.