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: 0.5-7
Depends: survival, nlme, GLMMadaptive, splines
LinkingTo: Rcpp, RcppArmadillo
Published: 2025年06月16日
Author: Dimitris Rizopoulos ORCID iD [aut, cre], Pedro Miranda Afonso [aut], Grigorios Papageorgiou [aut]
Maintainer: Dimitris Rizopoulos <d.rizopoulos at erasmusmc.nl>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: JMbayes2 results

Documentation:

Reference manual: JMbayes2.html , JMbayes2.pdf

Downloads:

Package source: JMbayes2_0.5-7.tar.gz
Windows binaries: r-devel: JMbayes2_0.5-7.zip, r-release: JMbayes2_0.5-7.zip, r-oldrel: JMbayes2_0.5-7.zip
macOS binaries: r-release (arm64): JMbayes2_0.5-7.tgz, r-oldrel (arm64): JMbayes2_0.5-7.tgz, r-release (x86_64): JMbayes2_0.5-7.tgz, r-oldrel (x86_64): JMbayes2_0.5-7.tgz
Old sources: JMbayes2 archive

Reverse dependencies:

Reverse imports: CIMPLE, JMbdirect, jmBIG
Reverse suggests: gmfamm, INLAjoint

Linking:

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