Nothing
JAGStree: Automatically Write 'JAGS' Code for Hierarchical Bayesian Models on Trees
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Mallory J Flynn [cre, aut] |
| Maintainer | Mallory J Flynn <mallory.flynn@stat.ubc.ca> |
| License | GPL (>= 2) |
| Version | 1.0.1 |
| URL | https://github.com/malfly/JAGStree |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the JAGStree package in your browser
Any scripts or data that you put into this service are public.
