LearnBayes

Functions for Learning Bayesian Inference

A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.

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Description file content

Package
LearnBayes
Type
Package
Title
Functions for Learning Bayesian Inference
Version
2.15.1
Date
2018-03-18
Author
Jim Albert
Maintainer
Jim Albert
LazyData
yes
Description
A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.
License
GPL (>= 2)
Packaged
2018-03-18 17:46:55 UTC; jamesalbert
NeedsCompilation
no
Repository
CRAN
Date/Publication
2018-03-18 20:41:13 UTC

install.packages('LearnBayes')

2.15.1

a year ago

Jim Albert

GPL (>= 2)

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