| Name : R-FastJM
| |
| Version : 1.4.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-09-10 15:15:21
|
| Group : Development/Libraries/Other
| Source RPM : R-FastJM-1.4.2-lp153.1.5.src.rpm
|
| Size : 1.06 MB
| |
| Packager : (none)
| |
| Summary : Semi-Parametric Joint Modeling of Longitudinal and Survival Data
|
Description :
Maximum likelihood estimation for the semi-parametric joint modeling of
competing risks and longitudinal data applying customized linear scan
algorithms, proposed by Li and colleagues (2022)
< doi:10.1155/2022/1362913>. The time-to-event data is modelled using a
(cause-specific) Cox proportional hazards regression model with
time-fixed covariates. The longitudinal outcome is modelled using a
linear mixed effects model. The association is captured by shared
random effects. The model is estimated using an Expectation
Maximization algorithm.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
