Package: Bolstad 0.2-41

Bolstad: Functions for Elementary Bayesian Inference

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.

Authors:James Curran [aut, cre]

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Bolstad/json (API)

# Install 'Bolstad' in R:
install.packages('Bolstad', repos = c('https://jmcurran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

26 exports 0.71 score 1 dependencies 2 mentions 84 scripts 5.9k downloads

Last updated 4 years agofrom:3dc15d83e4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winOKAug 28 2024
R-4.5-linuxOKAug 28 2024
R-4.4-winOKAug 28 2024
R-4.4-macOKAug 28 2024
R-4.3-winOKAug 28 2024
R-4.3-macOKAug 28 2024

Exports:bayes.lin.regbayes.lmbayes.t.testbinobpbinodpbinogcpbinomixpBolstad.controlcdfcreatePriordecompIQRmvnmvnpnormdpnormgcpnormmixpnormnpnvaricppoisdppoisgamppoisgcpsdsintegralsscsamplevarxdesign

Dependencies:mvtnorm

Readme and manuals

Help Manual

Help pageTopics
Bolstad FunctionsBolstad-package Bolstad
as.data.frame.Bolstadas.data.frame.Bolstad
Bayesian inference for simple linear regressionbayes.lin.reg
Bayesian inference for multiple linear regressionbayes.lm
Bayesian t-testbayes.t.test bayes.t.test.default bayes.t.test.formula
bearsbears
Binomial sampling with a beta priorbinobp
Binomial sampling with a discrete priorbinodp
Binomial sampling with a general continuous priorbinogcp
Binomial sampling with a beta mixture priorbinomixp
Control Bolstad functionsBolstad.control
Cumulative distribution function genericcdf cdf.Bolstad
Create prior genericcreatePrior
Create prior default methodcreatePrior.default
Plot the prior, likelihood, and posterior on the same plot.decomp
Interquartile Range genericIQR
Lines method for Bolstad objectslines.Bolstad
Calculate the posterior meanmean.Bolstad
Moisture datamoisture.df
Bayesian inference on a mutlivariate normal (MVN) mean with a multivariate normal (MVN) priormvnmvnp
Bayesian inference on a normal mean with a discrete priornormdp
Bayesian inference on a normal mean with a general continuous priornormgcp
Bayesian inference on a normal mean with a mixture of normal priorsnormmixp
Bayesian inference on a normal mean with a normal priornormnp
Bayesian inference for a normal standard deviation with a scaled inverse chi-squared distributionnvaricp
Plot method for objects of type Bolstadplot.Bolstad
Poisson sampling with a discrete priorpoisdp
Poisson sampling with a gamma priorpoisgamp
Poisson sampling with a general continuous priorpoisgcp
Print method for objects of class 'Bolstad'print.Bolstad
Print method for objects of class 'sscsample'print.sscsamp
Posterior quantilesquantile.Bolstad
Standard deviation genericsd
Posterior standard deviationsd.Bolstad
Numerical integration using Simpson's Rulesintegral
Slug dataslug
Simple, Stratified and Cluster Samplingsscsample
Data for simple random sampling, stratified sampling, and clusting sampling experimentssscsample.data
Summarizing Bayesian Multiple Linear Regressionsummary.Bolstad
Variance genericvar
Monte Carlo study of randomized and blocked designsxdesign