We appreciate your interest in contributing to our project. This document contains general guidelines for this process. We welcome contributions from all, regardless of your level of experience. To see the enhancements we have planned or are working on, check out our current issues. Johannes Karreth’s website has more resources on Bayesian estimation that might help you gain an idea of what this package offers and where it might go in the future.
By participating in this project, you agree to abide by the code of conduct.
Contributions can come in many forms. This includes (but is not limited to!):
BayesPostEstuses camelCase for function names.
mcmcfollowed by a description of its functionality, such as
mcmcFDfor the first differences of a Bayesian logit or probit model estimation or
mcmcRocPrcfor the ROC and precision-recall curves of a Bayesian logit or probit model estimation.