| Name : R-jmBIG
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.4
| Date : 2024-06-14 12:16:40
|
| Group : Development/Libraries/Other
| Source RPM : R-jmBIG-0.1.1-lp153.4.4.src.rpm
|
| Size : 0.25 MB
| |
| Packager : (none)
| |
| Summary : Joint Longitudinal and Survival Model for Big Data
|
Description :
Provides analysis tools for big data where the sample size is very
large. It offers a suite of functions for fitting and predicting joint
models, which allow for the simultaneous analysis of longitudinal and
time-to-event data. This statistical methodology is particularly useful
in medical research where there is often interest in understanding the
relationship between a longitudinal biomarker and a clinical outcome,
such as survival or disease progression. This can be particularly
useful in a clinical setting where it is important to be able to
predict how a patient\'s health status may change over time. Overall,
this package provides a comprehensive set of tools for joint modeling
of BIG data obtained as survival and longitudinal outcomes with both
Bayesian and non-Bayesian approaches. Its versatility and flexibility
make it a valuable resource for researchers in many different fields,
particularly in the medical and health sciences.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
