discrete.bayes.2: Posterior distribution of two parameters with discrete priors
Description
Computes the posterior distribution for an arbitrary two parameter distribution
for a discrete prior
distribution.
Usage
discrete.bayes.2(df,prior,y=NULL,...)
Value
prob
matrix of posterior probabilities
pred
scalar with prior predictive probability
Arguments
df
name of the function defining the sampling density of
two parameters
prior
matrix defining the prior density; the row names and column names
of the matrix define respectively the values of parameter 1 and values of
parameter 2 and the entries of the matrix give the prior probabilities
y
y is a matrix of data values, where each row corresponds to a
single observation
...
any further fixed parameter values
used in the sampling density function