NEWS.md

In graemeleehickey/bayesDP: Implementation of the Bayesian Discount Prior Approach for Clinical Trials

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

• Crucial bugfixes

bayesDP 1.0.1

• User requested bugfixes

bayesDP 1.0.0

• Initial CRAN release with normal, binomial and survival functions

graemeleehickey/bayesDP documentation built on Dec. 30, 2024, 9:32 p.m.