| Name : R-hdbm
| |
| Version : 0.9.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 3.26
| Date : 2024-08-29 00:30:08
|
| Group : Development/Libraries/Other
| Source RPM : R-hdbm-0.9.0-3.26.src.rpm
|
| Size : 0.93 MB
| |
| Packager : (none)
| |
| Summary : High Dimensional Bayesian Mediation Analysis
|
Description :
Perform mediation analysis in the presence of high-dimensional
mediators based on the potential outcome framework. High dimensional
Bayesian mediation (HDBM), developed by Song et al (2018)
< doi:10.1101/467399>, relies on two Bayesian sparse linear mixed models
to simultaneously analyze a relatively large number of mediators for a
continuous exposure and outcome assuming a small number of mediators
are truly active. This sparsity assumption also allows the extension of
univariate mediator analysis by casting the identification of active
mediators as a variable selection problem and applying Bayesian methods
with continuous shrinkage priors on the effects.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
