CRAN/E | lcmm

lcmm

Extended Mixed Models Using Latent Classes and Latent Processes

Installation

About

Estimation of various extensions of the mixed models including latent class mixed models, joint 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).

Citation lcmm citation info
cecileproust-lima.github.io/lcmm/
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Version 2.1.0
R ≥ 3.5.0
Published 2023-10-06 202 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks lcmm results

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Maintainer

Maintainer

Cecile Proust-Lima

cecile.proust-lima@inserm.fr

Authors

Cecile Proust-Lima

aut / cre

Viviane Philipps

aut

Amadou Diakite

ctb

Benoit Liquet

ctb

Material

README
NEWS
Reference manual
Package source

In Views

Cluster

Vignettes

Introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lcmm archive

Depends

R ≥ 3.5.0

Imports

nlme
survival ≥ 2.37-2
parallel
mvtnorm
randtoolbox
marqLevAlg
> 2.0
doParallel
numDeriv

Suggests

knitr
rmarkdown
lattice
NormPsy

Reverse Depends

JLPM

Reverse Imports

DynForest
nlive
NormPsy
pencal
SlaPMEG

Reverse Suggests

latrend