rpact 3.5.0
New features
- The new functions
getSampleSizeCounts()
andgetPowerCounts()
can be used to perform sample size calculations and the assessment of test characteristics for clinical trials with negative binomial distributed count data. This is possible for fixed sample size and group sequential designs. For the latter, the methodology described in Muetze et al. (2019) is implemented. These functions can also be used to perform blinded sample size reassessments according to Friede and Schmidli (2010).
Improvements, issues, and changes
- Original Fortran 77 code of AS 251 included into the package, see functions
mvnprd
,mvstud
,as251Normal
, andas251StudentT
- R package
mnormt
dependency has been removed - Argument
theta
can be used for plotting of sample size and power results - Pipe operator usage improved
- Shiny app link changed to https://rpact.shinyapps.io/cloud
- Several minor improvements
What's Changed
Full Changelog: v3.4.0...v3.5.0