Bayes.disc {asbio}

Bayesian graphical summaries for discrete or categorical data.

Description

An simple function for for summarizing a Bayesian analysis given discrete or categorical variables and priors.

Usage

Bayes.disc(Likelihood, Prior, data.name = "data", plot = TRUE, 
c.data = seq(1, length(Prior)), ...)

Bayes.disc.tck()

Arguments

Likelihood

A vector of sample distribution probabilities. This must be in the same order as Prior, i.e. if \theta_1 is the first element in Prior, then data|\theta_1 must be the first element in Data.

Prior

A vector of prior probabilities, or weights.

data.name

A name for data in conditional statements.

plot

Logical, indicating whether a plot should be made.

c.data

A character string of names for discrete classes

...

Additional arguments to plot.

Author(s)

Ken Aho