The Pandas data frame output by the mcmc was incorrectly shaping the lnprobabilities; each value was reported with the wrong chain.
This has also been adapted to be more custom model-friendly, allowing a wider variety of parameters to be vectorized. Additionally, a tutorial on how to create a custom model has been added.
The Pandas data frame output by the mcmc was incorrectly shaping the lnprobabilities; each value was reported with the wrong chain.
This has also been adapted to be more custom model-friendly, allowing a wider variety of parameters to be vectorized. Additionally, a tutorial on how to create a custom model has been added.