| Name : R-BDWreg
| |
| Version : 1.3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.2.1
| Date : 2024-06-24 15:46:12
|
| Group : Development/Libraries/Other
| Source RPM : R-BDWreg-1.3.0-lp156.2.1.src.rpm
|
| Size : 0.10 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian Inference for Discrete Weibull Regression
|
Description :
A Bayesian regression model for discrete response, where the
conditional distribution is modelled via a discrete Weibull
distribution. This package provides an implementation of
Metropolis-Hastings and Reversible-Jumps algorithms to draw samples
from the posterior. It covers a wide range of regularizations through
any two parameter prior. Examples are Laplace (Lasso), Gaussian
(ridge), Uniform, Cauchy and customized priors like a mixture of
priors. An extensive visual toolbox is included to check the validity
of the results as well as several measures of goodness-of-fit.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
