R Observatory: Metrics for hce version 0.9.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

hce

0.9.4

Design and Analysis of Hierarchical Composite Endpoints

1packages depend

6.6Kdownloads / year

32.8%test coverage

13/13checks pass

Overview

About

Maintained by Samvel B. GasparyanFirst published 2022-09-2619 releasesCRAN page ↗GitHub ↗

Simulate and analyze hierarchical composite endpoints with univariate distributions by Gasparyan, Koch, Brunner in (2025) in “The Univariate Distribution of Hierarchical Composite Endpoints and the Condorcet Non-transitivity Paradox.” (Biometrical Journal 68 (3), doi:10.1002/bimj.70140). Includes implementation for the kidney hierarchical composite endpoint as defined in Heerspink HL et al (2023) “Development and validation of a new hierarchical composite end point for clinical trials of kidney disease progression” (Journal of the American Society of Nephrology 34 (2): 2025–2038, doi:10.1681/ASN.0000000000000243). Win odds, also called Wilcoxon-Mann-Whitney or success odds, is the main analysis method, but other win statistics (win probability, win ratio, net benefit) are also implemented in the univariate case. The win probability analysis is based on the Brunner-Munzel test and uses the DeLong-DeLong-Clarke-Pearson variance estimator, as described by Brunner and Konietschke (2025) in “An unbiased rank-based estimator of the Mann–Whitney variance including the case of ties” (Statistical Papers 66 (1): 20, doi:10.1007/s00362-024-01635-0). Includes implementation of a new Wilson-type, compatible confidence interval for the win odds, as proposed by Schüürhuis, Konietschke, Brunner (2025) in “A new approach to the nonparametric Behrens–Fisher problem with compatible confidence intervals.” (Biometrical Journal 67 (6), doi:10.1002/bimj.70096). Stratification and covariate adjustment are performed based on the methodology presented by Koch GG et al. in “Issues for covariance analysis of dichotomous and ordered categorical data from randomized clinical trials and non-parametric strategies for addressing them” (Statistics in Medicine 17 (15-16): 1863–92). For a review, see Gasparyan SB et al (2021) “Adjusted win ratio with stratification: Calculation methods and interpretation” (Statistical Methods in Medical Research 30 (2): 580–611, doi:10.1177/0962280220942558).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("hce", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Samve/hce")

Development version from Samve/hce. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-hce

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-hce

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-hce

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.05

32.8%

Coverage · measured lines

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 23 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 99%
Return-value docs: 95%
References docs: 37%

Downloads

6.6K

CRAN downloads in the past year

Rank #5,952 · ~18/day · ~549/mo

Releases R versions

Daily download trend is not available in this view yet.

23830 days

1.3K90 days

6.6K1 year

Compare downloads with other packages →

Also on148 r2u24 autocran

Repository

GitHub ↗ samve/hce

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-06-26

Repository practices

Upstream repositoryBeta

Checks run against github.com/samve/hce on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (2)

basestats

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

maraca

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Samvel B. Gasparyan

Author, Maintainer

Authors (1)

Samvel B. Gasparyan

Author, Maintainer

Package Timeline

19 releases. Pick two to compare their code metrics. R releases are shown for context.

0.9.4Latest
2026-06-26 · current release · diff ↗
0.9.3
2026-05-13 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.9.1
2026-03-13 · diff ↗
0.9.0
2026-01-29 · diff ↗
0.8.8
2025-12-05 · diff ↗
0.8.5
2025-08-22 · diff ↗
0.8.0
2025-07-11 · diff ↗
0.7.2
2025-05-14 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.7.0
2025-03-05 · diff ↗
0.6.7
2025-01-07 · diff ↗
0.6.5
2024-10-16 · diff ↗
0.6.3
2024-08-19 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.6.0
2024-03-12 · diff ↗

Show 8 earlier events

0.5.9
2023-10-31 · diff ↗
0.5.8
2023-08-17 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.5.0
2023-01-16 · diff ↗
0.4.0
2023-01-05 · diff ↗
0.0.8
2022-11-16 · diff ↗
0.0.2
2022-09-26
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-09-26
Total releases: 19 / 4 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 94 KB / 11 files
Download size: 2.6 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hce")

Format

Gasparyan, S. B. (2026). hce: Design and Analysis of Hierarchical Composite Endpoints (Version 0.9.4) [Computer software]. https://doi.org/10.32614/CRAN.package.hce

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hce version 0.9.4 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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