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).


Reference manual

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0.1-8 by Dimitris Rizopoulos, 5 months 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