| Name : R-mcmc
| |
| Version : 0.9.8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 10:58:11
|
| Group : Development/Libraries/Other
| Source RPM : R-mcmc-0.9.8-lp153.1.4.src.rpm
|
| Size : 1.62 MB
| |
| Packager : (none)
| |
| Summary : Markov Chain Monte Carlo
|
Description :
Simulates continuous distributions of random vectors using Markov chain
Monte Carlo (MCMC). Users specify the distribution by an R function
that evaluates the log unnormalized density. Algorithms are random
walk Metropolis algorithm (function metrop), simulated tempering
(function temper), and morphometric random walk Metropolis (Johnson and
Geyer, 2012, < doi:10.1214/12-AOS1048>, function morph.metrop), which
achieves geometric ergodicity by change of variable.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
