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
|
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 Wins Hce maraca |
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, r-oldrel (x86_64): hce_0.5.8.tgz |
Old sources: | hce archive |
Reverse depends: | maraca |
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