Package: MCMChybridGP
Version: 7.0.1
Title: Hybrid Markov Chain Monte Carlo Using Gaussian Processes
Description: Hybrid Markov chain Monte Carlo (MCMC) for sampling from
        multimodal target distributions when derivatives are
        unavailable. A Gaussian process approximation is used to
        emulate derivatives, enabling efficient exploration with
        parallel tempering. The method is described in Fielding, Nott
        and Liong (2011) <doi:10.1198/TECH.2010.09195>. The research
        was carried out as part of the Singapore-Delft Water Alliance
        Multi-Objective Multi-Reservoir Management programme
        (R-264-001-272).
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: MASS, Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Authors@R: person(given = c("Mark", "J."),
                  family = "Fielding",
                  role = c("aut", "cre"),
                  email = "mark.fielding@gmx.com")
Config/roxygen2/version: 8.0.0
Packaged: 2026-06-24 18:37:04 UTC; root
Author: Mark J. Fielding [aut, cre]
Maintainer: Mark J. Fielding <mark.fielding@gmx.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-24 15:10:20 UTC
RemoteUrl: https://github.com/cran/MCMChybridGP
RemoteRef: HEAD
RemoteSha: 4c25c00e3c4e8405eeff401e96efac403a171aed