legacyplot: Plotting univariate Bayesian change point results
In bcp: Bayesian Analysis of Change Point Problems

Description Usage Arguments Details Author(s) See Also Examples

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.

1	legacyplot(x, ...)

`x`	the result of a call to `bcp()`.
`...`	(optional) additional arguments, ignored.

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.

Chandra Erdman and John W. Emerson

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

##### 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)