rmeanplot1: Running Mean Plot for a Single Parameter in MCMC Output

In s-mckay-curtis/mcmcplots: Create Plots from MCMC Output

Description

Creates a trace plot of a running mean for one parameter in an MCMC simulation. This function is called by the mcmcplot function, and is intended for internal use only.

Usage

rmeanplot1(x, col = NULL, lty = 1, style = c("gray", "plain"), ...)

Arguments

x	an mcmc.list object with a single variable.
col	one or more colors for the trace lines. Default is mcmcplotsPalette(nchains).
lty	one or more line types for the trace lines.
style	if "gray", then the plotting region is printed with a gray background, otherwise the default plotting region is used.
...	further arguments passed to the plotting function.

Value

Creates a plot.

Author(s)

S. McKay Curtis

See Also

mcmcplot1, denoverplot1, autplot1, traplot1

Examples

## Create fake MCMC output
nc <- 10; nr <- 1000
pnames <- c(paste("alpha[", 1:5, "]", sep=""), paste("gamma[", 1:5, "]", sep=""))
means <- rpois(10, 20)
fakemcmc <- coda::as.mcmc.list(
    lapply(1:3,
           function(i) coda::mcmc(matrix(rnorm(nc*nr, rep(means,each=nr)),
                                         nrow=nr, dimnames=list(NULL,pnames)))))

rmeanplot(fakemcmc[, "alpha[5]", drop=FALSE])
rmeanplot(fakemcmc[, "alpha[5]", drop=FALSE], style="plain")

s-mckay-curtis/mcmcplots documentation built on May 31, 2019, 5:13 p.m.