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: 0.1-5
Depends: survival, nlme, GLMMadaptive, splines
Imports: coda, Rcpp, parallel, matrixStats, ggplot2, gridExtra
LinkingTo: Rcpp, RcppArmadillo
Suggests: lattice, knitr, rmarkdown, pkgdown
Published: 2021-03-08
Author: Dimitris Rizopoulos ORCID iD [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

Downloads:

Reference manual: JMbayes2.pdf
Package source: JMbayes2_0.1-5.tar.gz
Windows binaries: r-devel: JMbayes2_0.1-5.zip, r-release: JMbayes2_0.1-5.zip, r-oldrel: JMbayes2_0.1-5.zip
macOS binaries: r-release: JMbayes2_0.1-5.tgz, r-oldrel: JMbayes2_0.1-5.tgz
Old sources: JMbayes2 archive

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