ProbBayes (version 1.1)

testing_prior: Testing prior for two proportions

Description

Constructs a discrete distribution for two proportions under a testing or uniform hypotheses

Usage

testing_prior(lo=.1, hi=.9, n_values=9,
        pequal=0.5, uniform=FALSE)

Arguments

lo

minimum value of each proportion

hi

maximum value of each proportion

n_values

number of values of each proportion

pequal

probability of the equality of the two proportions

uniform

indicates if a uniform prior is desired

Value

matrix of probabilities where the rows and columns are labeled by the values of the proportions

Examples

# NOT RUN {
  # testing prior where each proportion is
  # .1, .3, .5, .7, .9
  Prob <- testing_prior(.1, .9, 5)
  # uniform prior over same proportion values
  Prob <- testing_prior(.1, .9, 5, uniform=TRUE)
# }