Package: drjacoby Type: Package Title: Flexible Markov Chain Monte Carlo via Reparameterization Version: 1.5.4 Authors@R: c( person("Bob", "Verity", email = "r.verity@imperial.ac.uk", role = c("aut", "cre")), person("Pete", "Winskill", email = "p.winskill@imperial.ac.uk", role = c("aut")) ) Description: drjacoby is an R package for performing Bayesian inference via Markov chain monte carlo (MCMC). In addition to being highly flexible it implements some advanced techniques that can improve mixing in tricky situations. License: MIT + file LICENSE Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.1 LinkingTo: Rcpp Imports: Rcpp, coda, parallel, ggplot2, usethis, tools, rlang, cowplot, dplyr, magrittr, GGally, tidyr Suggests: testthat, covr, knitr, rmarkdown, microbenchmark, gridExtra BugReports: https://github.com/mrc-ide/drjacoby/issues VignetteBuilder: knitr Depends: R (>= 4.1.0) Config/pak/sysreqs: cmake git make libgit2-dev libicu-dev libuv1-dev libssl-dev libx11-dev Repository: https://mrc-ide.r-universe.dev Date/Publication: 2024-06-26 02:17:18 UTC RemoteUrl: https://github.com/mrc-ide/drjacoby RemoteRef: master RemoteSha: edfea6339eb5a828410a0109bc9fef70c22ee210 NeedsCompilation: yes Packaged: 2026-05-30 09:14:52 UTC; root Author: Bob Verity [aut, cre], Pete Winskill [aut] Maintainer: Bob Verity