Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation and quantile estimators is supported as well as multivariate estimations. The package also provides functions for computing effective sample size and for plotting Monte Carlo estimates versus sample size.
Version: 1.5-0 Imports: utils, ellipse, Rcpp (≥ 0.12.10), fftwtools, testthat LinkingTo: Rcpp, RcppArmadillo Suggests: knitr Published: 2021-09-09 DOI: 10.32614/CRAN.package.mcmcse Author: James M. Flegal, John Hughes, Dootika Vats, Ning Dai, Kushagra Gupta, and Uttiya Maji Maintainer: Dootika Vats <dootika at iitk.ac.in> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Citation: mcmcse citation info Materials: README In views: Bayesian CRAN checks: mcmcse results Documentation: Downloads: Reverse dependencies: Reverse depends: copCAR, stableGR Reverse imports: bayes4psy, bpgmm, DSSP, genMCMCDiag, JointAI, nse, PEPBVS, postpack, qbld, remiod, sklarsomega Reverse suggests: bayesImageS, LNIRT, nimble Linking:Please use the canonical form https://CRAN.R-project.org/package=mcmcse to link to this page.
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