[R-pkgs] New Package 'JM' for the Joint Modelling of Longitudinal and Survival Data

From: Dimitris Rizopoulos <dimitris.rizopoulos_at_med.kuleuven.be>
Date: Wed, 20 Feb 2008 09:39:47 +0100


Dear R-users,

I'd like to announce the release of the new package JM (JM_0.1-0 available from CRAN) for the joint modelling of longitudinal and time-to-event data.

The package has a single model-fitting function called jointModel(), which accepts as main arguments a linear mixed effects object fit returned by function lme() of package nlme, and a survival object fit returned by either function coxph() or function survreg() of package survival. In addition, the method argument of jointModel() specifies the type of the survival submodel to be fitted and the type of the numerical integration technique; available options are:

For "ph-GH", "weibull-GH" and "ch-GH" the Gauss-Hermite integration rule is used to approximate the required integrals, whereas for "ch-Laplace" a fully exponential Laplace approximation method is applied. The last option is more suitable for high-dimensional random effects vectors, when e.g., modelling nonlinear subject-specific trajectories with splines or high-order polynomials.

Sample analyses can be found at:
http://student.kuleuven.be/~m0390867/R%20packages%20&%20Computing/R%20Packages/pbc.R, and
http://student.kuleuven.be/~m0390867/R%20packages%20&%20Computing/R%20Packages/aids.R

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

Best,
Dimitris



Dimitris Rizopoulos
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium

Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm



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