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: 2026-06-19 23:15:19 UTC; MarkJ
Author: Mark J. Fielding [aut, cre]
Maintainer: Mark J. Fielding <mark.fielding@gmx.com>
Repository: CRAN
Date/Publication: 2026-06-24 15:10:20 UTC
