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: | 0.1-3 |
Depends: | survival, nlme, GLMMadaptive, splines |
Imports: | coda, Rcpp, parallel, matrixStats, ggplot2, gridExtra |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | lattice, knitr, rmarkdown, pkgdown |
Published: | 2021-01-18 |
Author: | Dimitris Rizopoulos
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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 |
Reference manual: | JMbayes2.pdf |
Package source: | JMbayes2_0.1-3.tar.gz |
Windows binaries: | r-devel: JMbayes2_0.1-3.zip, r-release: JMbayes2_0.1-3.zip, r-oldrel: JMbayes2_0.1-3.zip |
macOS binaries: | r-release: JMbayes2_0.1-3.tgz, r-oldrel: JMbayes2_0.1-3.tgz |
Old sources: | JMbayes2 archive |
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