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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: |
0.4-5 |
| Depends: |
survival, nlme, GLMMadaptive, splines |
| Imports: |
coda, Rcpp, parallel, parallelly, matrixStats, ggplot2, gridExtra |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
lattice, knitr, rmarkdown, pkgdown |
| Published: |
2023-06-26 |
| Author: |
Dimitris Rizopoulos
 [aut, cre],
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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https://CRAN.R-project.org/package=JMbayes2
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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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