CRAN/E | JLPM

JLPM

Joint Latent Process Models

Installation

About

Estimation of extended joint models with shared random effects. Longitudinal data are handled in latent process models for continuous (Gaussian or curvilinear) and ordinal outcomes while proportional hazard models are used for the survival part. We propose a frequentist approach using maximum likelihood estimation. See Saulnier et al, 2022 doi:10.1016/j.ymeth.2022.03.003.

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Key Metrics

Version 1.0.2
R ≥ 2.14.0
Published 2023-10-06 202 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Viviane Philipps

Viviane.Philipps@u-bordeaux.fr

Authors

Viviane Philipps

aut / cre

Tiphaine Saulnier

aut

Cecile Proust-Lima

aut

Material

Reference manual
Package source

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

JLPM archive

Depends

R ≥ 2.14.0
lcmm

Imports

survival ≥ 2.37-2
randtoolbox
stringr
marqLevAlg ≥2.0.6