Bolstad functions

Documentation for package ‘Bolstad’ version 0.2-17

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