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bayesloglin  

Bayesian Analysis of Contingency Table Data
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]
All associated links for this package
First Published: 2016-12-19
Latest Update: 2023-07-18
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 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2016-12-27 15:28), 1.0 (2016-12-19 08:33)
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