The Maraca Plot: Visualizing Hierarchical Composite Endpoints R package maraca version 1.1.0 Supports visual interpretation of hierarchical composite endpoints (HCEs). HCEs are complex constructs used as primary endpoints in clinical trials, combining outcomes of different types into ordinal endpoints, in which each patient contributes the most clinically important event (one and only one) to the analysis. See Karpefors M et al. (2022) <doi:10.1177/17407745221134949>. Software Depends: R (>= 3.5), hce (>= 0.8.5), ggplot2 (>= 3.4.0) Imports: dplyr (>= 1.0), tidyr (>= 1.2), checkmate (>= 2.1), patchwork(>= 1.0.0), lifecycle Suggests: knitr (>= 1.39), here (>= 1.0.1), lintr (>= 3.0.0), withr (>= 2.5.0), testthat (>= 3.1), rmarkdown, gganimate, gifski Monika Huhn <monika.huhn@astrazeneca.com> Comprehensive R Archive Network (CRAN) Martin Karpefors [aut] (ORCID: <https://orcid.org/0000-0003-3136-9882>), Samvel B. Gasparyan [aut] (ORCID: <https://orcid.org/0000-0002-4797-2208>), Stefano Borini [ctb], Kevin Anderson [aut] (ORCID: <https://orcid.org/0000-0002-9446-7386>), Monika Huhn [aut, cre] (ORCID: <https://orcid.org/0009-0000-7865-6008>) Apache License (>= 2) 2025-11-20 application/tgz https://CRAN.R-project.org/package=maraca doi:10.32614/CRAN.package.maraca