hce: Design and Analysis of Hierarchical Composite Endpoints

Simulate and analyze hierarchical composite endpoints. Win odds is the main analysis method. See Gasparyan SB et al (2022) "Design and Analysis of Studies Based on Hierarchical Composite Endpoints: Insights from the DARE-19 Trial." Therapeutic Innovation & Regulatory Science 56: 785–794. <doi:10.1007/s43441-022-00420-1>.

Version: 0.5.9
Depends: R (≥ 2.10)
Imports: base, stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-10-31
Author: Samvel B. Gasparyan ORCID iD [aut, cre]
Maintainer: Samvel B. Gasparyan <gasparyan.co at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: hce results


Reference manual: hce.pdf
Vignettes: Introduction


Package source: hce_0.5.9.tar.gz
Windows binaries: r-devel: hce_0.5.9.zip, r-release: hce_0.5.9.zip, r-oldrel: hce_0.5.9.zip
macOS binaries: r-release (arm64): hce_0.5.9.tgz, r-oldrel (arm64): hce_0.5.9.tgz, r-release (x86_64): hce_0.5.9.tgz
Old sources: hce archive

Reverse dependencies:

Reverse depends: maraca


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