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MJMbamlss: Multivariate Joint Models with 'bamlss'
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
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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