Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables, and functions to work with hierarchical/multilevel batches of parameters (Fernández-i-MarÃn, 2016 <doi:10.18637/jss.v070.i09>).
Version: 1.5.1.1 Depends: R (≥ 3.5), dplyr (≥ 1.0.0), tidyr (≥ 1.1.0), ggplot2 Imports: GGally (≥ 1.1.0) Suggests: coda, knitr, rmarkdown, ggthemes, gridExtra, Cairo, extrafont Published: 2021-02-10 DOI: 10.32614/CRAN.package.ggmcmc Author: Xavier Fernández i MarÃn [aut, cre] Maintainer: Xavier Fernández i MarÃn <xavier.fim at gmail.com> BugReports: https://github.com/xfim/ggmcmc/issues/ License: GPL-2 URL: http://xavier-fim.net/packages/ggmcmc/, https://github.com/xfim/ggmcmc/ NeedsCompilation: no Citation: ggmcmc citation info Materials: README, NEWS In views: Bayesian CRAN checks: ggmcmc results Documentation: Downloads: Reverse dependencies: Reverse imports: bspcov, EcoDiet, mfa, missingHE, MixSIAR, oHMMed, PLMIX, rbioacc Reverse suggests: afdx, airGR, crmPack, metamisc, runMCMCbtadjust Linking:Please use the canonical form https://CRAN.R-project.org/package=ggmcmc to link to this page.
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