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 |