summary.MfU: Summarizing and plotting "MfU" Objects

In MfUSampler: Multivariate-from-Univariate (MfU) MCMC Sampler

Description

Methods for summarizing and plotting the output of MfU.Sample.Run.

Usage

## S3 method for class '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 class 'summary.MfU'
print(x, ...)
## S3 method for class 'MfU'
plot(x, start = round(nrow(x)/2) + 1
  , end = nrow(x), thin = 1, ...)

Arguments

object	An object of class "MfU", typically the output of MfU.Sample.Run.
start	Which iteration to start from for calculating sample statistics.
end	Last iteration to use for calculating sample statistics. Defaults to last iteration.
thin	One out of thin samples are kept for calculating sample statistics. Default is 1, using all samples within specified range.
quantiles	Values for which sample-based quantiles are calculated.
...	Arguments passed to summary.mcmc and plot.mcmc functions in coda package.
x	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.

Value

These functions are thin wrappers around summary.mcmc and plot.mcmc. See coda package documentation for details.

Author(s)

Alireza S. Mahani, Mansour T.A. Sharabiani

References

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

See Also

MfU.Sample.Run

MfUSampler documentation built on May 1, 2019, 7:07 p.m.