| Name : R-gibbs.met
| |
| Version : 1.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:09:50
|
| Group : Development/Libraries/Other
| Source RPM : R-gibbs.met-1.1.3-lp153.2.13.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Naive Gibbs Sampling with Metropolis Steps
|
Description :
This package provides two generic functions for performing Markov chain
sampling in a naive way for a user-defined target distribution, which
involves only continuous variables. The function \"gibbs_met\" performs
Gibbs sampling with each 1-dimensional distribution sampled with
Metropolis update using Gaussian proposal distribution centered at the
previous state. The function \"met_gaussian\" updates the whole state
with Metropolis method using independent Gaussian proposal distribution
centered at the previous state. The sampling is carried out without
considering any special tricks for improving efficiency. This package
is aimed at only routine applications of MCMC in moderate-dimensional
problems.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
