[R] [R-pkgs] New Package 'JM' for the Joint Modelling of Longitudinal and Survival Data
Dimitris Rizopoulos
dimitris.rizopoulos at med.kuleuven.be
Wed Feb 20 09:39:47 CET 2008
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:
* "ph-GH": the time-dependent version of a proportional hazards
model with unspecified baseline hazard function. This option
corresponds to the joint model proposed by Wulfsohn and Tsiatis,
Biometrics, 1997.
* "weibull-GH": the Weibull model under the accelerated failure
time formulation.
* "ch-GH" and "ch-Laplace": an additive log cumulative hazard
model, in which the log cumulative baseline hazard is approximated
using B-splines.
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
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages
More information about the R-help
mailing list