| Name : R-JGL
| |
| Version : 2.3.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 2.7
| Date : 2024-08-05 20:59:42
|
| Group : Development/Libraries/Other
| Source RPM : R-JGL-2.3.2-2.7.src.rpm
|
| Size : 0.38 MB
| |
| Packager : (none)
| |
| Summary : Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes
|
Description :
The Joint Graphical Lasso is a generalized method for estimating
Gaussian graphical models/ sparse inverse covariance matrices/
biological networks on multiple classes of data. We solve JGL under
two penalty functions: The Fused Graphical Lasso (FGL), which employs a
fused penalty to encourage inverse covariance matrices to be similar
across classes, and the Group Graphical Lasso (GGL), which encourages
similar network structure between classes. FGL is recommended over GGL
for most applications. Reference: Danaher P, Wang P, Witten DM. (2013)
< doi:10.1111/rssb.12033>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
