Bolstad0.2.42 package

as.data.frame.Bolstad

Bayesian inference for simple linear regression

Bayesian inference for multiple linear regression

Bayesian t-test

Binomial sampling with a beta prior

Binomial sampling with a discrete prior

Binomial sampling with a general continuous prior

Binomial sampling with a beta mixture prior

Bolstad Functions

Control Bolstad functions

Cumulative distribution function generic

Create prior default method

Create prior generic

Plot the prior, likelihood, and posterior on the same plot.

Interquartile Range generic

Lines method for Bolstad objects

Calculate the posterior mean

Median generic

Bayesian inference on a mutlivariate normal (MVN) mean with a multivar...

Bayesian inference on a normal mean with a discrete prior

Bayesian inference on a normal mean with a general continuous prior

Bayesian inference on a normal mean with a mixture of normal priors

Bayesian inference on a normal mean with a normal prior

Bayesian inference for a normal standard deviation with a scaled inver...

Plot method for objects of type Bolstad

Poisson sampling with a discrete prior

Poisson sampling with a gamma prior

Poisson sampling with a general continuous prior

Print method for objects of class Bolstad

Generic print method

Print method for objects of class sscsample

Posterior quantiles

Posterior standard deviation

Standard deviation generic

Numerical integration using Simpson's Rule

Simple, Stratified and Cluster Sampling

Summarizing Bayesian Multiple Linear Regression

Variance generic

Monte Carlo study of randomized and blocked designs