# Functions for Elementary Bayesian Inference ## Help Pages

 Bolstad-package Bolstad Functions as.data.frame.Bolstad as.data.frame.Bolstad bayes.lin.reg Bayesian inference for simple linear regression bayes.lm Bayesian inference for multiple linear regression bayes.t.test Bayesian t-test bayes.t.test.default Bayesian t-test bayes.t.test.formula Bayesian t-test bears bears 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 Bolstad Bolstad Functions Bolstad.control Control Bolstad functions cdf Cumulative distribution function generic cdf.Bolstad Cumulative distribution function generic createPrior Create prior generic createPrior.default Create prior default method decomp Plot the prior, likelihood, and posterior on the same plot. IQR Interquartile Range generic lines.Bolstad Lines method for Bolstad objects mean.Bolstad Calculate the posterior mean moisture.df Moisture data mvnmvnp Bayesian inference on a mutlivariate normal (MVN) mean with a multivariate normal (MVN) 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 print.Bolstad Print method for objects of class 'Bolstad' print.sscsamp Print method for objects of class 'sscsample' quantile.Bolstad Posterior quantiles sd Standard deviation generic sd.Bolstad Posterior standard deviation sintegral Numerical integration using Simpson's Rule slug Slug data sscsample Simple, Stratified and Cluster Sampling sscsample.data Data for simple random sampling, stratified sampling, and clusting sampling experiments summary.Bolstad Summarizing Bayesian Multiple Linear Regression var Variance generic xdesign Monte Carlo study of randomized and blocked designs