mnormt.onesided {LearnBayes} | R Documentation |
Bayesian test of one-sided hypothesis about a normal mean
Description
Computes a Bayesian test of the hypothesis that a normal mean is less than or equal to a specified value
Usage
mnormt.onesided(m0,normpar,data)
Arguments
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 |
Value
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 |
Author(s)
Jim Albert
Examples
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)
[Package LearnBayes version 2.15.1 Index]