[R] [R-pkgs] package JM -- version 0.8-0

[Dimitris Rizopoulos]

Dear R-users,

I'd like to announce the release of the new version of package JM (soon 
available from CRAN) for the joint modeling of longitudinal and 
time-to-event data using shared parameter models. These models are 
applicable in mainly two settings. First, when focus is in the survival 
outcome and we wish to account for the effect of a time-dependent 
covariate measured with error. Second, when focus is in the longitudinal 
outcome and we wish to correct for nonrandom dropout.

New features include:

* for all joint models fitted by JM there is now the option to use a 
pseudo adaptive Gauss-Hermite rule. This is much faster than the default 
option and produces results of equal or better quality. It can be 
invoked via the 'method' argument of jointModel() by specifying "aGH" 
instead of "GH", e.g., 'method = "piecewise-PH-aGH"' instead of 'method 
= "piecewise-PH-GH"'.

* function rocJM() has been added that estimates time-dependent
sensitivity and specificity (and the corresponding time-dependent
ROCs and AUCs) for longitudinal markers under the joint modeling
framework. The function also allows for several predictions rules.

* the new argument 'interFact' added in jointModel() allows the 
specification of interaction terms between the longitudinal outcome and 
baseline covariates.

* the new arguments 'parameterization' and 'derivForm' added in 
jointModel() allow the specification of more general association 
structures between the longitudinal marker and the risk for an event. 
For instance, if a random intercepts and random slopes mixed model has 
been postulated for the longitudinal outcome, then this argument can be 
used to also associate the risk for an event with the subject-specific 
slopes.

* a predict method has been added. Currently this only calculates fitted 
average longitudinal evolutions based on the information provided in the 
'newdata' argument.

More information can be found in the corresponding help files, and 
examples at http://rwiki.sciviews.org/doku.php?id=packages:cran:jm

As always, any kind of feedback (e.g., 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/

_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages