Package: EntropyMCMC
Type: Package
Title: MCMC Simulation and Convergence Evaluation using Entropy and
        Kullback-Leibler Divergence Estimation
Version: 1.0.4
Date: 2019-03-08
Authors@R: c(person("Didier", "Chauveau", role = c("aut", "cre"),
  email = "didier.chauveau@univ-orleans.fr"),
  person("Houssam", "Alrachid", role = "ctb"))
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.
Depends: R (>= 3.0)
Imports: RANN, parallel, mixtools
Suggests: Rmpi, snow
License: GPL (>= 3)
LazyLoad: yes
Author: Didier Chauveau [aut, cre],
  Houssam Alrachid [ctb]
Maintainer: Didier Chauveau <didier.chauveau@univ-orleans.fr>
NeedsCompilation: yes
Packaged: 2019-03-08 16:27:10 UTC; didier
Repository: CRAN
Date/Publication: 2019-03-08 17:22:51 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 05:02:54 UTC; windows
Archs: x64
