Joint Latent Process Models R package JLPM version 1.0.4 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>. Software Depends: R (>= 3.5.0), lcmm Imports: survival (>= 2.37-2), spacefillr, stringr, marqLevAlg (>= 2.0.6) Viviane Philipps <Viviane.Philipps@u-bordeaux.fr> Comprehensive R Archive Network (CRAN) Viviane Philipps [aut, cre], Tiphaine Saulnier [aut], Cecile Proust-Lima [aut] GPL (>= 2.0) 2026-05-04 application/tgz https://CRAN.R-project.org/package=JLPM doi:10.32614/CRAN.package.JLPM