mnormt.twosided function

Bayesian test of a two-sided hypothesis about a normal mean

Bayesian test of a two-sided hypothesis about a normal mean

Bayesian test that a normal mean is equal to a specified value using a normal prior

mnormt.twosided(m0, prob, t, data)

Arguments

  • m0: value of the mean to be tested
  • prob: prior probability of the hypothesis
  • t: vector of values of the prior standard deviation under the alternative hypothesis
  • data: vector containing the sample mean, the sample size, and the known value of the population standard deviation

Returns

  • bf: vector of values of the Bayes factor in support of the null hypothesis

  • post: vector of posterior probabilities of the null hypothesis

Author(s)

Jim Albert

Examples

m0=170 prob=.5 tau=c(.5,1,2,4,8) samplesize=10 samplemean=176 popsd=3 data=c(samplemean,samplesize,popsd) mnormt.twosided(m0,prob,tau,data)
  • Maintainer: Jim Albert
  • License: GPL (>= 2)
  • Last published: 2018-03-18

Useful links