legacyplot

0th

Percentile

Plotting univariate Bayesian change point results

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.

Keywords
datasets
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.

See Also

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

Aliases
  • legacyplot
Examples
# NOT RUN {
##### 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)

# }
Documentation reproduced from package bcp, version 4.0.3, License: GPL (>= 2)

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