testing_prior function

Testing prior for two proportions

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

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

Returns

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

Author(s)

Jim Albert

Examples

# 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)