JAGS is a Bayesian statistics library that uses Markov Chain Monte Carlo methods to generate a sequence of dependent samples from the posterior distribution of given parameters.
'rjags' in an R package that provides an interface from R to the JAGS library for Bayesian data analysis.
The JAGS library is required in order to install the 'rjags' package in R.
There are alternatives to the 'rjags' package, but all these packages require the JAGS library to be installed.
Why is it useful?
|Who would benefit from this IDEA?||As a data analyst, I want to be able to use 'rjags' to generate samples from posterior distributions.|
How should it work?
Glad to see that you were able to install JAGS and the 'rjags' package @email@example.com! Please let us know if you run into issues with any other libraries/packages + how you're finding JAGS/rjags in DSX ;)
I'll mark this as 'Will not implement' given your updates!