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adpss: Design and Analysis of Locally or Globally Efficient Adaptive Designs

Provides the functions for planning and conducting a clinical trial with adaptive sample size determination. Maximal statistical efficiency will be exploited even when dramatic or multiple adaptations are made. Such a trial consists of adaptive determination of sample size at an interim analysis and implementation of frequentist statistical test at the interim and final analysis with a prefixed significance level. The required assumptions for the stage-wise test statistics are independent and stationary increments and normality. Predetermination of adaptation rule is not required.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.17)
LinkingTo: Rcpp (≥ 0.12.17)
Suggests: knitr, rmarkdown
Published: 2022-12-09
DOI: 10.32614/CRAN.package.adpss
Author: Kosuke Kashiwabara [aut, cre]
Maintainer: Kosuke Kashiwabara <kashiwabara-tky at umin.ac.jp>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ca4wa/R-adpss
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: adpss results

Documentation:

Reference manual: adpss.pdf
Vignettes: Illustration of adaptive sample size determination

Downloads:

Package source: adpss_0.1.2.tar.gz
Windows binaries: r-devel: adpss_0.1.2.zip, r-release: adpss_0.1.2.zip, r-oldrel: adpss_0.1.2.zip
macOS binaries: r-release (arm64): adpss_0.1.2.tgz, r-oldrel (arm64): adpss_0.1.2.tgz, r-release (x86_64): adpss_0.1.2.tgz, r-oldrel (x86_64): adpss_0.1.2.tgz
Old sources: adpss archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.