sampleParameters: Sample models parameters

In CecileProust-Lima/lcmm: Extended Mixed Models Using Latent Classes and Latent Processes

Sample models parameters

Description

Generates parameters from models estimated with hlme, lcmm, multlcmm, Jointlcmm or mpjlcmm functions. Parameters are randomly sampled from a Gaussian distribution using estimates and corresponding variances of a model.

Usage

sampleParameters(x, cholesky = FALSE)

Arguments

x	an object of class hlme, lcmm, multlcmm, Jointlcmm, or mpjlcmm.
cholesky	optional logical indicating if cholesky parameters should be returned. Default to FALSE, the variance-covariance parameters of the random effects are returned.

Value

a named vector containing the sampled parameters.

Author(s)

Viviane Philipps

Examples

m <- hlme(Y ~ Time * X1, random = ~ Time, subject = 'ID', data = data_hlme)

sampleParameters(m)

CecileProust-Lima/lcmm documentation built on June 13, 2025, 8:43 a.m.