| Name : R-joineR
| |
| Version : 1.2.8
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.7
| Date : 2024-06-14 11:01:52
|
| Group : Development/Libraries/Other
| Source RPM : R-joineR-1.2.8-lp153.1.7.src.rpm
|
| Size : 2.37 MB
| |
| Packager : (none)
| |
| Summary : Joint Modelling of Repeated Measurements and Time-to-Event Data
|
Description :
Analysis of repeated measurements and time-to-event data via random
effects joint models. Fits the joint models proposed by Henderson and
colleagues < doi:10.1093/biostatistics/1.4.465> (single event time) and
by Williamson and colleagues (2008) < doi:10.1002/sim.3451> (competing
risks events time) to a single continuous repeated measure. The
time-to-event data is modelled using a (cause-specific) Cox
proportional hazards regression model with time-varying covariates. The
longitudinal outcome is modelled using a linear mixed effects model.
The association is captured by a latent Gaussian process. The model is
estimated using am Expectation Maximization algorithm. Some plotting
functions and the variogram are also included. This project is funded
by the Medical Research Council (Grant numbers G0400615 and
MR/M013227/1).
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
