VPSPulse Mirrors
High-Performance Open-Source Archive
NEWS
bayesDP 1.3.7
- Updated GitHub actions workflows
- Updated README badges
- Fixed .Rd file itemize list for
bdpbinomial,
bdpnormal, and bdpsurvival
- Fixed logical check in
bdpsurvival
- Fixed spelling mistakes in documentation
- Minor formatting updates
- Add reverse dependency checks
bayesDP 1.3.6
- Fixed CRAN CMD warnings for S4 generics
bayesDP 1.3.5
- Fixed CRAN CMD warnings for S4 generics
bayesDP 1.3.4
- Updates to README and DESCRIPTION
- Updates to .gitignore file
- Add codecov for coverage checking
- Updates to R code formatting
- Added GitHub Actions CI
bayesDP 1.3.3
- New package maintainer (Graeme L. Hickey) since package was
orphaned
- Updates to README, DESCRIPTION, NAMESPACE
- Added
stop break to discount_logit for
method = mc
bayesDP 1.3.2
- Minor
bdplm vignette typo fixes
bayesDP 1.3.1
Major new features
- 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
Bug fixes and minor
improvements
- 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
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
bayesDP 1.0.1
bayesDP 1.0.0
- Initial CRAN release with normal, binomial and survival
functions