| Name : R-porridge
| |
| Version : 0.3.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.1.5
| Date : 2024-09-12 10:58:33
|
| Group : Development/Libraries/Other
| Source RPM : R-porridge-0.3.3-lp155.1.5.src.rpm
|
| Size : 0.65 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Ridge-Type Penalized Estimation of a Potpourri of Models
|
Description :
The name of the package is derived from the French, \'pour\' ridge, and
provides functionality for ridge-type estimation of a potpourri of
models. Currently, this estimation concerns that of various Gaussian
graphical models from different study designs. Among others it
considers the regular Gaussian graphical model and a mixture of such
models. The porridge-package implements the estimation of the former
either from i) data with replicated observations by penalized
loglikelihood maximization using the regular ridge penalty on the
parameters (van Wieringen, Chen, 2021) or ii) from non-replicated data
by means of either a ridge estimator with multiple shrinkage targets
(as presented in van Wieringen et al. 2020,
< doi:10.1016/j.jmva.2020.104621>) or the generalized ridge estimator
that allows for both the inclusion of quantitative and qualitative
prior information on the precision matrix via element-wise penalization
and shrinkage (van Wieringen, 2019,
< doi:10.1080/10618600.2019.1604374>). Additionally, the
porridge-package facilitates the ridge penalized estimation of a
mixture of Gaussian graphical models (Aflakparast et al., 2018). On
another note, the package also includes functionality for ridge-type
estimation of the generalized linear model (as presented in van
Wieringen, Binder, 2022, < doi:10.1080/10618600.2022.2035231>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
