Bayesian test of one-sided hypothesis about a normal mean
Computes a Bayesian test of the hypothesis that a normal mean is less than or equal to a specified value
mnormt.onesided(m0,normpar,data)
m0 |
value of the normal mean to be tested |
normpar |
vector of mean and standard deviation of the normal prior distribution |
data |
vector of sample mean, sample size, and known value of the population standard deviation |
BF |
Bayes factor in support of the null hypothesis |
prior.odds |
prior odds of the null hypothesis |
post.odds |
posterior odds of the null hypothesis |
postH |
posterior probability of the null hypothesis |
Jim Albert
y=c(182,172,173,176,176,180,173,174,179,175) pop.s=3 data=c(mean(y),length(data),pop.s) m0=175 normpar=c(170,1000) mnormt.onesided(m0,normpar,data)
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