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).


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("JMbayes2")

0.1-7 by Dimitris Rizopoulos, 24 days ago


https://drizopoulos.github.io/JMbayes2/, https://github.com/drizopoulos/JMbayes2


Report a bug at https://github.com/drizopoulos/JMbayes2/issues


Browse source code at https://github.com/cran/JMbayes2


Authors: Dimitris Rizopoulos [aut, cre] , Grigorios Papageorgiou [aut] , Pedro Miranda Afonso [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports coda, Rcpp, parallel, matrixStats, ggplot2, gridExtra

Depends on survival, nlme, GLMMadaptive, splines

Suggests lattice, knitr, rmarkdown, pkgdown

Linking to Rcpp, RcppArmadillo


See at CRAN