Monte Carlo Standard Errors for MCMC

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.


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Reference manual

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install.packages("mcmcse")

1.5-0 by Dootika Vats, a month ago


Browse source code at https://github.com/cran/mcmcse


Authors: James M. Flegal <[email protected]> , John Hughes , Dootika Vats <[email protected]> , Ning Dai , Kushagra Gupta , and Uttiya Maji


Documentation:   PDF Manual  


Task views: Bayesian Inference


GPL (>= 2) license


Imports utils, ellipse, Rcpp, fftwtools, testthat

Suggests knitr

Linking to Rcpp, RcppArmadillo


Imported by JointAI, bayes4psy, bpgmm, dirmcmc, eiCompare, nse, postpack, sklarsomega.

Depended on by copCAR, stableGR.

Suggested by LNIRT, bayesImageS, bmscstan.


See at CRAN