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LearnBayes  

Functions for Learning Bayesian Inference
View on CRAN: Click here


Download and install LearnBayes package within the R console
Install from CRAN:
install.packages("LearnBayes")

Install from Github:
library("remotes")
install_github("cran/LearnBayes")

Install by package version:
library("remotes")
install_version("LearnBayes", "2.15.1")



Attach the package and use:
library("LearnBayes")
Maintained by
Jim Albert
[Scholar Profile | Author Map]
First Published: 2007-05-03
Latest Update: 2018-03-18
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.
How to cite:
Jim Albert (2007). LearnBayes: Functions for Learning Bayesian Inference. R package version 2.15.1, https://cran.r-project.org/web/packages/LearnBayes. Accessed 08 May. 2025.
Previous versions and publish date:
1.0 (2007-05-03 14:26), 1.2 (2008-04-17 18:19), 2.0 (2009-01-05 11:34), 2.11 (2010-07-25 13:06), 2.12 (2012-10-29 08:57), 2.15 (2014-05-29 17:33)
Other packages that cited LearnBayes R package
View LearnBayes citation profile
Other R packages that LearnBayes depends, imports, suggests or enhances
Complete documentation for LearnBayes
Functions, R codes and Examples using the LearnBayes R package
Some associated functions: achievement . baseball.1964 . bayes.influence . bayes.model.selection . bayes.probit . bayesresiduals . bermuda.grass . beta.select . betabinexch . betabinexch0 . bfexch . bfindep . binomial.beta.mix . birdextinct . birthweight . blinreg . blinregexpected . blinregpred . bprobit.probs . bradley.terry.post . breastcancer . calculus.grades . cancermortality . careertraj.setup . cauchyerrorpost . chemotherapy . ctable . darwin . discint . discrete.bayes.2 . discrete.bayes . dmnorm . dmt . donner . election.2008 . election . footballscores . gibbs . groupeddatapost . hearttransplants . hiergibbs . histprior . howardprior . impsampling . indepmetrop . iowagpa . jeter2004 . laplace . lbinorm . logctablepost . logisticpost . logpoissgamma . logpoissnormal . marathontimes . mnormt.onesided . mnormt.twosided . mycontour . normal.normal.mix . normal.select . normchi2post . normnormexch . normpostpred . normpostsim . ordergibbs . pbetap . pbetat . pdisc . pdiscp . poissgamexch . poisson.gamma.mix . predplot . prior.two.parameters . puffin . rdirichlet . reg.gprior.post . regroup . rejectsampling . rigamma . rmnorm . rmt . robustt . rtruncated . rwmetrop . schmidt . simcontour . sir . sluggerdata . soccergoals . stanfordheart . strikeout . studentdata . transplantpost . triplot . weibullregpost . 
Some associated R codes: bayes.influence.R . bayes.model.selection.R . bayes.probit.R . bayesresiduals.R . beta.select.R . betabinexch.R . betabinexch0.R . bfexch.R . bfindep.R . binomial.beta.mix.R . blinreg.R . blinregexpected.R . blinregpred.R . bprobit.probs.R . bradley.terry.post.R . careertraj.setup.R . cauchyerrorpost.R . ctable.R . discint.R . discrete.bayes.2.R . discrete.bayes.R . dmnorm.R . dmt.R . gibbs.R . groupeddatapost.R . hiergibbs.R . histprior.R . howardprior.R . impsampling.R . indepmetrop.R . laplace.R . lbinorm.R . logctablepost.R . logisticpost.R . logpoissgamma.R . logpoissnormal.R . mnormt.onesided.R . mnormt.twosided.R . mycontour.R . normal.normal.mix.R . normal.select.R . normchi2post.R . normnormexch.R . normpostpred.R . normpostsim.R . ordergibbs.R . pbetap.R . pbetat.R . pdisc.R . pdiscp.R . plot.bayes.R . plot.bayes2.R . poissgamexch.R . poisson.gamma.mix.R . predplot.R . print.bayes.R . prior.two.parameters.R . rdirichlet.R . reg.gprior.post.R . regroup.R . rejectsampling.R . rigamma.R . rmnorm.R . rmt.R . robustt.R . rtruncated.R . rwmetrop.R . simcontour.R . sir.R . summary.bayes.R . transplantpost.R . triplot.R . weibullregpost.R .  Full LearnBayes package functions and examples
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