| Name : R-EntropyMCMC
| |
| Version : 1.0.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.17.2
| Date : 2024-06-14 12:07:30
|
| Group : Development/Libraries/Other
| Source RPM : R-EntropyMCMC-1.0.4-lp153.17.2.src.rpm
|
| Size : 0.19 MB
| |
| Packager : (none)
| |
| Summary : MCMC Simulation and Convergence Evaluation using Entropy and Kullback-Leibler Divergence Estimation
|
Description :
Tools for Markov Chain Monte Carlo (MCMC) simulation and performance
analysis. Simulate MCMC algorithms including adaptive MCMC, evaluate
their convergence rate, and compare candidate MCMC algorithms for a
same target density, based on entropy and Kullback-Leibler divergence
criteria. MCMC algorithms can be simulated using provided functions, or
imported from external codes. This package is based upon work starting
with Chauveau, D. and Vandekerkhove, P. (2013) < doi:10.1051/ps/2012004>
and next articles.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
