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JAGStree  

Automatically Write 'JAGS' Code for Hierarchical Bayesian Models on Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("JAGStree", "1.0.1")



Attach the package and use:
library("JAGStree")
Maintained by
Mallory J Flynn
[Scholar Profile | Author Map]
First Published: 2024-11-11
Latest Update: 2024-11-11
Description:
When relationships between sources of data can be represented by a tree, the generation of appropriate Markov Chain Monte Carlo modeling code to be used with 'JAGS' to run a Bayesian hierarchical model can be automatically generated by this package. Any admissible tree-structured data can be used, under the assumption that node counts are multinomial and branching probabilities are Dirichlet among sibling groups. The methodological basis used to create this package can be found in Flynn (2023) <http://hdl.handle.net/2429/86174>.
How to cite:
Mallory J Flynn (2024). JAGStree: Automatically Write 'JAGS' Code for Hierarchical Bayesian Models on Trees. R package version 1.0.1, https://cran.r-project.org/web/packages/JAGStree. Accessed 20 Feb. 2025.
Previous versions and publish date:
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Complete documentation for JAGStree
Functions, R codes and Examples using the JAGStree R package
Full JAGStree package functions and examples
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