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bayesloglin
View on CRAN: Click
here
Download and install bayesloglin package within the R console
Install from CRAN:
install.packages("bayesloglin")
Install from Github:
library("remotes")
install_github("cran/bayesloglin") Install by package version:
library("remotes")
install_version("bayesloglin", "1.0.1") Attach the package and use:
library("bayesloglin")
Maintained by
Matthew Friedlander
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-19
Latest Update:
Description:
The function MC3() searches for log-linear models with the highest posterior probability. The function gibbsSampler() is a blocked Gibbs sampler for sampling from the posterior distribution of the log-linear parameters. The functions findPostMean() and findPostCov() compute the posterior mean and covariance matrix for decomposable models which, for these models, is available in closed form.
How to cite:
Matthew Friedlander (2016). bayesloglin: Bayesian Analysis of Contingency Table Data. R package version 1.0.1, https://cran.r-project.org/web/packages/bayesloglin. Accessed 30 Oct. 2026.
Previous versions and publish date:
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Functions, R codes and Examples using
the bayesloglin R package
Some associated functions: MC3 . bayesloglin . czech . findPostCov . findPostMean . gibbsSampler .
Some associated R codes: MC3.Decomposable.R . MC3.Graphical.R . MC3.Hierarchical.R . MC3.R . anRpackage-internal.R . binToDec.R . checkArgsFindPostCov.R . checkArgsFindPostMean.R . checkArgsGibbsSampler.R . checkArgsMC3.R . chooseRandomNeighbour.R . decToBin.R . findCliques.R . findDecomposableNeighbours.R . findDualGenerators.R . findFormula.R . findGenerators.R . findGraph.R . findHierNeighbours.R . findLogMargLik.R . findMargFreqs.R . findModel.R . findPostCov.R . findPostMean.R . getSubsets.R . getTools.R . gibbsSampler.R . is.graphical.R . logLaplace.R . makeModelHierarchical.R . multiplicity.R . prettyFormula.R . randomDecomposableGraph.R . randomGraph.R . randomHierModel.R . standardizeColumnNames.R . Full bayesloglin package functions and examples
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