permut: Permutation of the latent classes

In lcmm: Extended Mixed Models Using Latent Classes and Latent Processes

Description

This function allows a re-ordering of the latent classes of an estimated model.

Usage

permut(m, order, estim = TRUE)

Arguments

m	an object inheriting from classes hlme, lcmm, multlcmm or Jointlcmm
order	a vector (integer between 1 and ng) containing the new order of the latent classes
estim	optional boolean specifying if the model should estimated with the reordered parameters as initial values. By default, the model is estimated. If FALSE, only the coefficients in $best are modified. All other outputs are not changed.

Value

An object of the same class as m, with reordered classes, or the initial object with new coefficients if estim is FALSE.

Author(s)

Viviane Philipps and Cecile Proust-Lima

Examples

## Estimation of a hlme model with 2 classes
m2 <- hlme(Y~Time*X1,mixture=~Time,random=~Time,classmb=~X2+X3,subject='ID',
         ng=2,data=data_hlme,B=c(0.11,-0.74,-0.07,20.71,
                                 29.39,-1,0.13,2.45,-0.29,4.5,0.36,0.79,0.97))

## Exchange class 2 and class 1
m2b <- permut(m2,order=c(2,1))

lcmm documentation built on Jan. 31, 2022, 9:06 a.m.