posteriors-methods: Method to plot posterior distribution

In bacon: Controlling bias and inflation in association studies using the empirical null distribution

Description

Method to plot posterior distribution

Usage

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 = "",
  ...)

Arguments

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

Value

plot of the Gibbs Sampler posterior probabilities

See Also

bacon

Examples

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)

bacon documentation built on Nov. 8, 2020, 4:54 p.m.