Multivariate joint models of longitudinal and time-to-event data based on functional principal components implemented with 'bamlss'. Implementation for Volkmann, Umlauf, Greven (2023) <doi:10.48550/arXiv.2311.06409>.
Version: 0.1.0 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 Published: 2023-11-27 DOI: 10.32614/CRAN.package.MJMbamlss Author: Nikolaus Umlauf [aut], Alexander Volkmann [aut, cre] Maintainer: Alexander Volkmann <alexander.volkmann at hu-berlin.de> License: GPL-3 NeedsCompilation: yes Materials: README NEWS CRAN checks: MJMbamlss results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=MJMbamlss to link to this page.
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