legacyplot {bcp}R Documentation

Plotting univariate Bayesian change point results

Description

legacyplot() produces summary plots of the results of bcp() when used for univariate analysis; it was the default method prior to package version 3.0.0.

Usage

legacyplot(x, ...)

Arguments

x

the result of a call to bcp().

...

(optional) additional arguments, ignored.

Details

legacyplot() produces the following plots using base graphics:

Posterior Means: location in the sequence versus the posterior mean over the iterations.

Posterior Probability of a Change: location in the sequence versus the relative frequency of iterations which resulted in a change point.

Author(s)

Chandra Erdman and John W. Emerson

See Also

plot.bcp, bcp, summary.bcp, and print.bcp for complete results and summary statistics.

Examples

##### A random sample from a few normal distributions #####
testdata <- c(rnorm(50), rnorm(50, 5, 1), rnorm(50))
bcp.0 <- bcp(testdata, return.mcmc=TRUE)
legacyplot(bcp.0)


[Package bcp version 4.0.3 Index]