# BayesPPD 1.1.0 - Nov 11, 2022

## Enhancements

* Allow borrowing for treatment effect parameter for GLMs.
* Return values are S3 objects with `summary` methods implemented. 
* Add vignette for two group cases for binary and normal outcomes.
* Add automated testing. 
* Expand the return values of the power calculation functions to include the posterior probabilities of the alternative hypothesis and the biases of the average posterior mean estimates. 



# BayesPPD 1.0.7 - Oct 12, 2022

## Enhancements
* Allow the user to specify the direction of the null hypothesis. 
