posteriors {bacon} | R Documentation |
Method to plot posterior distribution
posteriors(object, thetas = c("sigma.0", "p.0"), index = 1, alphas = c(0.95, 0.9, 0.75), xlab = "", ylab = "", ...) ## S4 method for signature 'Bacon' posteriors(object, thetas = c("sigma.0", "p.0"), index = 1, alphas = c(0.95, 0.9, 0.75), xlab = "", ylab = "", ...)
object |
'bacon'-object |
thetas |
which thetas to plot |
index |
if multiple sets of test-statsistics where provided |
alphas |
significance level confidence ellipses |
xlab |
optional xlab |
ylab |
optional ylab |
... |
additional plotting parameters |
plot of the Gibbs Sampler posterior probabilities
y <- rnormmix(2000, c(0.9, 0, 1, 0, 4, 1)) ##nbins = 100 to speed up the calculations bc <- bacon(y, nbins=100) posteriors(bc)