| 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 |
| plot.Bolstad | Plot method for objects of type Bolstad |
| 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 |
| xdesign | Monte Carlo study of randomized and blocked designs |