gibbsNormal {nclbayes} | R Documentation |
Simulates realisations from the posterior distribution for the mean and precision in a normal distribution based on a random sample and a semi-conjugate prior by using a Gibbs sampler.
gibbsNormal(N, initial, priorparam, n, xbar, s)
N |
length of MCMC chain. |
initial |
starting value for the algorithm. |
priorparam |
prior parameters b,c,g,h. |
n |
size of random sample. |
xbar |
mean of random sample. |
s |
standard deviation of random sample. |
mcmcAnalysis(gibbsNormal(N=100,initial=c(10,0.25), priorparam=c(10,1/100,3,12),n=100,xbar=15,s=4.5),rows=2)