Package: ADCT 0.1.0

ADCT: Adaptive Design in Clinical Trials

Existing adaptive design methods in clinical trials. The package includes power, stopping boundaries (sample size) calculation functions for two-group group sequential designs, adaptive design with coprimary endpoints, biomarker-informed adaptive design, etc.

Authors:Yalin Zhu

ADCT_0.1.0.tar.gz
ADCT_0.1.0.zip(r-4.5)ADCT_0.1.0.zip(r-4.4)ADCT_0.1.0.zip(r-4.3)
ADCT_0.1.0.tgz(r-4.4-any)ADCT_0.1.0.tgz(r-4.3-any)
ADCT_0.1.0.tar.gz(r-4.5-noble)ADCT_0.1.0.tar.gz(r-4.4-noble)
ADCT_0.1.0.tgz(r-4.4-emscripten)ADCT_0.1.0.tgz(r-4.3-emscripten)
ADCT.pdf |ADCT.html✨
ADCT/json (API)

# Install 'ADCT' in R:
install.packages('ADCT', repos = c('https://allenzhuaz.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/allenzhuaz/adct/issues

On CRAN:

5 exports 1.19 score 1 dependencies 2 mentions 5 scripts 337 downloads

Last updated 3 years agofrom:3d9e8967c0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:BioInfo.PowerCopriEndpt.PowerOneArm.CondPowerTwoArms.CondPowerTwoGrpCopriEndpt.SimPower

Dependencies:mvtnorm