R: Functions for Elementary Bayesian Inference

# Functions for Elementary Bayesian Inference

## Documentation for package ‘Bolstad’ version 0.2.42

- DESCRIPTION file.

## 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
median.Bolstad | Median generic
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.sintegral | Generic print method
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