| Name : R-MHTrajectoryR
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:03:29
|
| Group : Development/Libraries/Other
| Source RPM : R-MHTrajectoryR-1.0.1-lp153.2.13.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Model Selection in Logistic Regression for the Detection of Adverse Drug Reactions
|
Description :
Spontaneous adverse event reports have a high potential for detecting
adverse drug reactions. However, due to their dimension, the analysis
of such databases requires statistical methods. We propose to use a
logistic regression whose sparsity is viewed as a model selection
challenge. Since the model space is huge, a Metropolis-Hastings
algorithm carries out the model selection by maximizing the BIC
criterion.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
