Functions for Elementary Bayesian Inference

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Documentation for package ‘Bolstad’ version 0.2.42

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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