| Name : R-emBayes
| |
| Version : 0.1.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-16 12:30:37
|
| Group : Development/Libraries/Other
| Source RPM : R-emBayes-0.1.6-lp153.1.1.src.rpm
|
| Size : 0.40 MB
| |
| Packager : (none)
| |
| Summary : Robust Bayesian Variable Selection via Expectation-Maximization
|
Description :
Variable selection methods have been extensively developed for
analyzing highdimensional omics data within both the frequentist and
Bayesian frameworks. This package provides implementations of the
spike-and-slab quantile (group) LASSO which have been developed along
the line of Bayesian hierarchical models but deeply rooted in
frequentist regularization methods by utilizing
Expectation–Maximization (EM) algorithm. The spike-and-slab quantile
LASSO can handle data irregularity in terms of skewness and outliers in
response variables, compared to its non-robust alternative, the
spike-and-slab LASSO, which has also been implemented in the package.
In addition, procedures for fitting the spike-and-slab quantile group
LASSO and its non-robust counterpart have been implemented in the form
of quantile/least-square varying coefficient mixed effect models for
high-dimensional longitudinal data. The core module of this package is
developed in \'C++\'.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
