Multivariate Joint Models with 'bamlss' R package MJMbamlss version 0.1.0 Multivariate joint models of longitudinal and time-to-event data based on functional principal components implemented with 'bamlss'. Implementation for Volkmann, Umlauf, Greven (2023) <arXiv:2311.06409>. Software Depends: R (>= 3.5), mgcv, bamlss Imports: stats, funData, statmod, mvtnorm, zoo, coda, gamm4, Matrix, refund, utils, fdapace, sparseFLMM, MFPCA, foreach LinkingTo: Rcpp, RcppEigen Suggests: testthat (>= 3.0.0), splines, tidyverse Alexander Volkmann <alexander.volkmann@hu-berlin.de> Comprehensive R Archive Network (CRAN) Nikolaus Umlauf [aut] (ORCID: <https://orcid.org/0000-0003-2160-9803>), Alexander Volkmann [aut, cre] GPL-3 2023-11-27 application/tgz https://CRAN.R-project.org/package=MJMbamlss doi:10.32614/CRAN.package.MJMbamlss