JMbayes2: Extended Joint Models for Longitudinal and Time-to-Event Data
Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
Version: |
0.5-0 |
Depends: |
survival, nlme, GLMMadaptive, splines |
Imports: |
coda, Rcpp, parallel, parallelly, matrixStats, ggplot2, gridExtra |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
lattice, knitr, rmarkdown, pkgdown |
Published: |
2024-05-30 |
DOI: |
10.32614/CRAN.package.JMbayes2 |
Author: |
Dimitris Rizopoulos
[aut, cre]
(<https://orcid.org/0000-0001-9397-0900>),
Grigorios Papageorgiou [aut],
Pedro Miranda Afonso [aut] |
Maintainer: |
Dimitris Rizopoulos <d.rizopoulos at erasmusmc.nl> |
BugReports: |
https://github.com/drizopoulos/JMbayes2/issues |
License: |
GPL (≥ 3) |
URL: |
https://drizopoulos.github.io/JMbayes2/,
https://github.com/drizopoulos/JMbayes2 |
NeedsCompilation: |
yes |
Materials: |
README NEWS |
CRAN checks: |
JMbayes2 results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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