Methods for summarizing and plotting the output of MfU.Sample.Run.
# S3 method for MfU
summary(object, start = round(nrow(object)/2) + 1
, end = nrow(object), thin = 1
, quantiles = c(0.025, 0.5, 0.975), ...)
# S3 method for summary.MfU
print(x, ...)
# S3 method for MfU
plot(x, start = round(nrow(x)/2) + 1
, end = nrow(x), thin = 1, ...)These functions are thin wrappers around summary.mcmc and plot.mcmc. See coda package documentation for details.
An object of class "MfU", typically the output of MfU.Sample.Run.
Which iteration to start from for calculating sample statistics.
Last iteration to use for calculating sample statistics. Defaults to last iteration.
One out of thin samples are kept for calculating sample statistics. Default is 1, using all samples within specified range.
Values for which sample-based quantiles are calculated.
Arguments passed to summary.mcmc and plot.mcmc functions in coda package.
For plot.MfU, an object of class "MfU", typically the output of MfU.Sample.Run; for print.summary.MfU, an object of class summary.MfU, typically the output of summary.MfU function.
Alireza S. Mahani, Mansour T.A. Sharabiani
Mahani A.S and Sharabiani M.T.A. (2017). Multivariate-From-Univariate MCMC Sampler: The R Package MfUSampler. Journal of Statistical Software, Code Snippets, 78(1), 1-22. doi:10.18637/jss.v078.c01
MfU.Sample.Run