PowerTOST
Power and Sample Size for (Bio)Equivalence Studies
A bioequivalence sample-size workhorse whose news is which regulator it now covers
◆Recent moves
- 10mo ago
Fix for splitting total sample size across sequences
A single bug fix in nvec() covering how a total sample size is divided into subjects per sequence. The only release in eighteen months, and it leaves the methods untouched.
View source ↗ - 2y ago
NTID functions renamed off the FDA acronym; GCC guidance in vignettes
Completes the de-acronyming of the narrow-therapeutic-index functions now that China's CDE requires the same evaluation, recodes shadowtext() locally after TeachingDemos was orphaned, and makes the group-by-treatment interaction significance level a parameter instead of a hard-coded 0.1. Consistent with the package treating regulators as interchangeable settings.
View source ↗ - 4y ago
power.NTID() aliases added; FDA-suffixed names deprecated
Introduces the agency-neutral NTID aliases and marks the FDA-named originals for removal, the naming half of the move 1.5-6 finished. Also fixes vectorization of CV and theta0 in power.TOST().
View source ↗ - 5y ago
Gulf Co-operation Council added as a regulator setting
Adds GCC as a regulator, handled as a special case of average bioequivalence with expanding limits rather than as new machinery, and adapts scABEL.ad() and its sample-size counterpart accordingly. Another jurisdiction mapped onto an existing framework, which is the pattern this package has followed for years.
View source ↗ - 5y ago
Maintenance release with vignette and documentation clarifications
Bug fixes and clarifications, the most useful being an explicit statement that every sampleN function returns a total sample size rather than subjects per sequence or group. Note the feed's ordering lies here: this version reached CRAN in August 2020, before both 1.5-1 and 1.5-2, despite carrying a later timestamp.
View source ↗ - 5y ago
stringsAsFactors fix for older R in a vignette example
A vignette-only fix for a data.frame default that errored on an outdated macOS R build. No functional change to the package.
View source ↗