CohortPlat: Simulation of Cohort Platform Trials for Combination Treatments

A collection of functions dedicated to simulating staggered entry platform trials whereby the treatment under investigation is a combination of two active compounds. In order to obtain approval for this combination therapy, superiority of the combination over the two active compounds and superiority of the two active compounds over placebo need to be demonstrated. A more detailed description of the design can be found in Meyer et al. <doi:10.1002/pst.2194> and a manual in Meyer et al. <arXiv:2202.02182>.

Version: 1.0.5
Depends: R (≥ 3.5.0)
Imports: dplyr, purrr, ggplot2, plotly, tidyr, parallel, doParallel, foreach, openxlsx, forcats, epitools, zoo
Suggests: knitr, rmarkdown, DT, gtools
Published: 2022-02-14
Author: Elias Laurin Meyer [aut, cre], Peter Mesenbrink [ctb], Cornelia Dunger-Baldauf [ctb], Ekkehard Glimm [ctb], Franz Koenig [ctb]
Maintainer: Elias Laurin Meyer <elias.meyer at meduniwien.ac.at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: CohortPlat results

Documentation:

Reference manual: CohortPlat.pdf
Vignettes: CohortPlat

Downloads:

Package source: CohortPlat_1.0.5.tar.gz
Windows binaries: r-devel: CohortPlat_1.0.5.zip, r-release: CohortPlat_1.0.5.zip, r-oldrel: CohortPlat_1.0.5.zip
macOS binaries: r-release (arm64): CohortPlat_1.0.5.tgz, r-oldrel (arm64): CohortPlat_1.0.5.tgz, r-release (x86_64): CohortPlat_1.0.5.tgz
Old sources: CohortPlat archive

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