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)
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 |
bf |
vector of values of the Bayes factor in support of the null hypothesis |
post |
vector of posterior probabilities of the null hypothesis |
Jim Albert
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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.