bayes.lin.reg |
Bayesian inference for simple linear regression |
binobp |
Binomial sampling with a beta prior |
binodp |
Binomial sampling with a discrete prior |
binogcp |
Binomial sampling with a general continuous prior |
binomixp |
Binomial sampling with a beta mixture prior |
normdp |
Bayesian inference on a normal mean with a discrete prior |
normgcp |
Bayesian inference on a normal mean with a general continuous prior |
normmixp |
Bayesian inference on a normal mean with a mixture of normal priors |
normnp |
Bayesian inference on a normal mean with a normal prior |
nvaricp |
Bayesian inference for a normal standard deviation with a scaled
inverse chi-squared distribution |
poisdp |
Poisson sampling with a discrete prior |
poisgamp |
Poisson sampling with a gamma prior |
poisgcp |
Poisson sampling with a general continuous prior |
sintegral |
Numerical integration using Simpson's Rule |
sscsample |
Simple, Stratified and Cluster Sampling |
sscsample.data |
A stratified and clustered data set |
xdesign |
Monte Carlo study of randomized and blocked designs |