| Name : R-joineRML
| |
| Version : 0.4.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 5.5
| Date : 2024-08-29 00:31:34
|
| Group : Development/Libraries/Other
| Source RPM : R-joineRML-0.4.6-5.5.src.rpm
|
| Size : 2.68 MB
| |
| Packager : (none)
| |
| Summary : Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
|
Description :
Fits the joint model proposed by Henderson and colleagues (2000)
< doi:10.1093/biostatistics/1.4.465>, but extended to the case of
multiple continuous longitudinal measures. The time-to-event data is
modelled using a Cox proportional hazards regression model with
time-varying covariates. The multiple longitudinal outcomes are
modelled using a multivariate version of the Laird and Ware linear
mixed model. The association is captured by a multivariate latent
Gaussian process. The model is estimated using a Monte Carlo
Expectation Maximization algorithm. This project was funded by the
Medical Research Council (Grant number MR/M013227/1).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
