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 ORCID iD [aut, cre], Grigorios Papageorgiou [aut], Pedro Miranda Afonso [aut]
Maintainer: Dimitris Rizopoulos <d.rizopoulos at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: JMbayes2 results


Reference manual: JMbayes2.pdf


Package source: JMbayes2_0.5-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): JMbayes2_0.5-0.tgz, r-oldrel (arm64): JMbayes2_0.5-0.tgz, r-release (x86_64): JMbayes2_0.5-0.tgz, r-oldrel (x86_64): JMbayes2_0.5-0.tgz
Old sources: JMbayes2 archive

Reverse dependencies:

Reverse imports: jmBIG
Reverse suggests: gmfamm, INLAjoint


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