- Minor bdplm vignette typo fixes
- Changes to inputs for bdpsurvival
- Current and (optional) historical data are specified in separate data frames
- Updated normal approximation used for method="mc" of the bdpbinomial and bdpnormal functions
- Summary method for bdplm now exists and mimics lm
- Removed bdpbinomial vignette language around success (vs event)
- Reported one-arm sample size for bdpsurvival print method adjusted to current data only
- 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
- 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
- Supports one-arm regression analysis
- Two additional modular functions
- Implementation of Monte Carlo-based estimation of alpha discount
- Fixes to class slots
- Added print input to plot method
- 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
, andbdpsurvival
- Implemented the
fix_alpha
input which allows users to set the historical data weight atalpha_max
- 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
- README update
- Added plot types
- Added Vignettes
- Added logo
- Improved documentation
- Updated print, summary, plot methods
- Refactored bdpnormal/bdpbinomial
- Crucial bugfixes
- User requested bugfixes
- Initial CRAN release with normal, binomial and survival functions.