# bayesDP 1.3.0
## Major new features
* Addition of the bdplm function for two-arm trials
* Users can now choose between 3 discount functions via the discount_function input:
  + Weibull CDF
  + Scaled Weibull CDF - scales the Weibull CDF so that the max possible value is 1
  + Identity - sets the discount weight to the posterior probability
* Removal of bdpregression


## Bug fixes and minor improvements
* Removed two-sided and one-sided function inputs to avoid confusion
* Posterior probabilities for method="mc" switched from pshisq to pnorm 
* Updated vignettes to reflect new features



# bayesDP 1.2.0
## Major new features
* Supports one-arm regression analysis
* Two additional modular functions
* Implementation of Monte Carlo-based estimation of alpha discount

## Bug fixes and minor improvements
* Fixes to class slots
* Added print input to plot method


# bayesDP 1.1.0
## Major new features
* Supports two-arm survival analysis via hazard rate comparisons
* Completely revamped summary and print methods to produce better formatted results
* Plot method allows users to specify a `type`
* Added vignettes for each of `bdpbinomial`, `bdpnormal`, and `bdpsurvival`
* Implemented the `fix_alpha` input which allows users to set the historical data weight at `alpha_max`

## Bug fixes and minor improvements
* Fixed error with two-arm analysis where models did not fit if either the current or historical control data were not input
* Changed `two_side` input to logical
* Consolidated several internal functions into a single function for computational efficiency gains


# bayesDP 1.0.3
* README update
* Added plot types
* Added Vignettes
* Added logo
* Improved documentation
* Updated print, summary, plot methods
* Refactored bdpnormal/bdpbinomial

# bayesDP 1.0.2
* Crucial bugfixes

# bayesDP 1.0.1
* User requested bugfixes

# bayesDP 1.0.0
* Initial CRAN release with normal, binomial and survival functions.
