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hce  

Design and Analysis of Hierarchical Composite Endpoints
View on CRAN: Click here


Download and install hce package within the R console
Install from CRAN:
install.packages("hce")

Install from Github:
library("remotes")
install_github("cran/hce")

Install by package version:
library("remotes")
install_version("hce", "0.8.8")



Attach the package and use:
library("hce")
Maintained by
Samvel B. Gasparyan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-26
Latest Update: 2025-07-11
Description:
Simulate and analyze hierarchical composite endpoints. Win odds is the main analysis method, but other win statistics (win ratio, net benefit) are implemented as well in case of no censoring. See Gasparyan SB et al (2023) "Hierarchical Composite Endpoints in COVID-19: The DARE-19 Trial." Case Studies in Innovative Clinical Trials, 95-148. Chapman; Hall/CRC. .
How to cite:
Samvel B. Gasparyan (2022). hce: Design and Analysis of Hierarchical Composite Endpoints. R package version 0.8.8, https://cran.r-project.org/web/packages/hce. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 0.0.2 (2022-09-26 14:10), 0.0.8 (2022-11-16 16:20), 0.4.0 (2023-01-05 22:50), 0.5.0 (2023-01-16 14:20), 0.5.8 (2023-08-17 14:32), 0.5.9 (2023-10-31 19:20), 0.6.0 (2024-03-12 16:50), 0.6.3 (2024-08-19 17:20), 0.6.5 (2024-10-16 06:30), 0.6.7 (2025-01-07 19:10), 0.7.0 (2025-03-05 11:50), 0.7.2 (2025-05-14 16:10), 0.8.0 (2025-07-11 17:00), 0.8.5 (2025-08-22 22:50), 0.8.8 (2025-12-05 07:30), 0.9.0 (2026-01-29 17:50), 0.9.1 (2026-03-12 19:50), 0.9.3 (2026-05-13 07:10)
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