[R-pkgs] New Package 'JMbayes' for the Joint Modeling of Longitudinal and Survival Data under a Bayesian approach

From: D. Rizopoulos <d.rizopoulos_at_erasmusmc.nl>
Date: Tue, 18 Sep 2012 13:39:30 +0000


Dear R-users,

I would like to announce the release of the new package JMbayes available from CRAN (http://CRAN.R-project.org/package=JMbayes). This package fits shared parameter models for the joint modeling of normal longitudinal responses and event times under a Bayesian approach using JAGS, WinBUGS or OpenBUGS.

The package has a single model-fitting function called jointModelBayes(), which accepts as main arguments a linear mixed effects object fit returned by function lme() of package nlme, and a Cox model object fit returned by function coxph() of package survival.

The package also provides functionality for computing dynamic predictions for the longitudinal and time-to-event outcomes using functions predict() and survfitJM(), respectively.

As always, any kind of feedback (questions, suggestions, bug-reports, etc.) is more than welcome.

Best,
Dimitris

-- 
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014
Web: http://www.erasmusmc.nl/biostatistiek/
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Received on Thu 20 Sep 2012 - 07:24:08 EST

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