Method to plot posterior 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

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)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(bacon)
Loading required package: ggplot2
Loading required package: BiocParallel
Loading required package: ellipse
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/bacon/posteriors-methods.Rd_%03d_medium.png", width=480, height=480)
> ### Name: posteriors
> ### Title: Method to plot posterior distribution
> ### Aliases: posteriors posteriors,Bacon-method
> 
> ### ** 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)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>