testing_prior: Testing prior for two proportions
In TeachBayes: Teaching Bayesian Inference

Description Usage Arguments Value Author(s) Examples

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

1 2	testing_prior(lo=.1, hi=.9, n_values=9, pequal=0.5, uniform=FALSE)

`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

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

Jim Albert

  # 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)