Hybrid Markov Chain Monte Carlo Using Gaussian Processes R package MCMChybridGP version 7.0.1 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). Software Depends: R (>= 4.2.0) Imports: MASS, Rcpp LinkingTo: Rcpp Mark J. Fielding <mark.fielding@gmx.com> Comprehensive R Archive Network (CRAN) Mark J. Fielding [aut, cre] GPL-2 2026-06-24 application/tgz https://CRAN.R-project.org/package=MCMChybridGP doi:10.32614/CRAN.package.MCMChybridGP