CRAN/E | EntropyMCMC

EntropyMCMC

MCMC Simulation and Convergence Evaluation using Entropy and Kullback-Leibler Divergence Estimation

Installation

About

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.

Citation EntropyMCMC citation info

Key Metrics

Version 1.0.4
R ≥ 3.0
Published 2019-03-08 1884 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks EntropyMCMC results

Downloads

Yesterday 8 0%
Last 7 days 48 -4%
Last 30 days 184 +12%
Last 90 days 455 -37%
Last 365 days 2.264 -19%

Maintainer

Maintainer

Didier Chauveau

didier.chauveau@univ-orleans.fr

Authors

Didier Chauveau

aut / cre

Houssam Alrachid

ctb

Material

Reference manual
Package source

In Views

Bayesian

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.0

Imports

RANN
parallel
mixtools

Suggests

Rmpi
snow