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Bolstad (version 0.2-41)
Functions for Elementary Bayesian Inference
Description
A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2017), John Wiley & Sons ISBN 978-1-118-09156-2.
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Install
install.packages('Bolstad')
Monthly Downloads
11,342
Version
0.2-41
License
GPL (>= 2)
Maintainer
James Curran
Last Published
October 5th, 2020
Functions in Bolstad (0.2-41)
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Bolstad-package
Bolstad Functions
cdf
Cumulative distribution function generic
binobp
Binomial sampling with a beta prior
bayes.lm
Bayesian inference for multiple linear regression
binodp
Binomial sampling with a discrete prior
bayes.lin.reg
Bayesian inference for simple linear regression
lines.Bolstad
Lines method for Bolstad objects
mean.Bolstad
Calculate the posterior mean
createPrior
Create prior generic
poisdp
Poisson sampling with a discrete prior
sd.Bolstad
Posterior standard deviation
normmixp
Bayesian inference on a normal mean with a mixture of normal priors
sd
Standard deviation generic
normnp
Bayesian inference on a normal mean with a normal prior
poisgamp
Poisson sampling with a gamma prior
bayes.t.test
Bayesian t-test
IQR
Interquartile Range generic
moisture.df
Moisture data
bears
bears
print.sscsamp
Print method for objects of class
sscsample
poisgcp
Poisson sampling with a general continuous prior
mvnmvnp
Bayesian inference on a mutlivariate normal (MVN) mean with a multivariate normal (MVN) prior
quantile.Bolstad
Posterior quantiles
Bolstad.control
Control Bolstad functions
print.Bolstad
Print method for objects of class
Bolstad
sscsample
Simple, Stratified and Cluster Sampling
as.data.frame.Bolstad
as.data.frame.Bolstad
createPrior.default
Create prior default method
decomp
Plot the prior, likelihood, and posterior on the same plot.
slug
Slug data
normdp
Bayesian inference on a normal mean with a discrete prior
sscsample.data
Data for simple random sampling, stratified sampling, and clusting sampling experiments
normgcp
Bayesian inference on a normal mean with a general continuous prior
sintegral
Numerical integration using Simpson's Rule
binomixp
Binomial sampling with a beta mixture prior
binogcp
Binomial sampling with a general continuous 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
summary.Bolstad
Summarizing Bayesian Multiple Linear Regression
var
Variance generic
xdesign
Monte Carlo study of randomized and blocked designs