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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