Estimation of Extended Mixed Models Using Latent Classes and
Latent Processes
Functions for the estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.

Extended Mixed Models Using Latent Classes and Latent Processes
Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.

Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).

R (>= 2.14.0), survival (>= 2.37-2), parallel, mvtnorm

Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models, mixed models for curvilinear outcomes or mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).
R (>= 3.5.0), survival (>= 2.37-2), parallel, mvtnorm,
randtoolbox

Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).
R (>= 3.5.0), survival (>= 2.37-2), parallel, mvtnorm,
randtoolbox, marqLevAlg (> 2.0)

Liangliang Wang <l.wang@stat.ubc.ca>, Nandini Dendukuri
<nandini.dendukuri@mcgill.ca>.
Bayesian estimation of latent class models with random
effects