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: 0.1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.17)
LinkingTo: Rcpp (≥ 0.12.17)
Suggests: knitr, rmarkdown
Published: 2018-07-18
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

Downloads:

Reference manual: adpss.pdf
Vignettes: Illustration of adaptive sample size determination
Package source: adpss_0.1.0.tar.gz
Windows binaries: r-devel: adpss_0.1.0.zip, r-release: adpss_0.1.0.zip, r-oldrel: not available
OS X binaries: r-release: adpss_0.1.0.tgz, r-oldrel: not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=adpss to link to this page.