| Name : R-BGGM
| |
| Version : 2.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.1
| Date : 2024-09-23 19:15:16
|
| Group : Development/Libraries/Other
| Source RPM : R-BGGM-2.1.3-lp153.3.1.src.rpm
|
| Size : 5.61 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Gaussian Graphical Models
|
Description :
Fit Bayesian Gaussian graphical models. The methods are separated into
two Bayesian approaches for inference: hypothesis testing and
estimation. There are extensions for confirmatory hypothesis testing,
comparing Gaussian graphical models, and node wise predictability.
These methods were recently introduced in the Gaussian graphical model
literature, including Williams (2019) < doi:10.31234/osf.io/x8dpr>,
Williams and Mulder (2019) < doi:10.31234/osf.io/ypxd8>, Williams, Rast,
Pericchi, and Mulder (2019) < doi:10.31234/osf.io/yt386>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
