R Observatory: Metrics for ohenery version 0.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ohenery

0.1.4

Modeling of Ordinal Random Variables via Softmax Regression

2packages depend

7.2Kdownloads / year

97.5%test coverage

13/13checks pass

Overview

About

Maintained by Steven E. PavFirst published 2019-10-065 releasesCRAN page ↗GitHub ↗

Supports the modeling of ordinal random variables, like the outcomes of races, via Softmax regression, under the Harville doi:10.1080/01621459.1973.10482425 and Henery doi:10.1111/j.2517-6161.1981.tb01153.x models.

Install

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

install.packages("ohenery", 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("shabbychef/ohenery")

Development version from shabbychef/ohenery. 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-ohenery

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-ohenery

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-ohenery

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

Health

CRAN checks

13OK

Slowest check: 3.6 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.64

97.5%

Coverage · measured lines

100%

Documentation · exports

6

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
OK2026-06-08
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-07
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 2,230 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 86%
References docs: 14%

Downloads

7.2K

CRAN downloads in the past year

Rank #6,345 · ~20/day · ~603/mo

Releases R versions

Daily download trend is not available in this view yet.

21230 days

1.3K90 days

7.2K1 year

Compare downloads with other packages →

Also on493 r2u19 autocran

Repository

GitHub ↗ shabbychef/ohenery

9Stars

0Forks

5Open issues

0Open PRs

0Releases

84Commits

1Contributors

License LGPL-3.0 · 84 commits · Last activity 2025-09-09 · 0% stars, 30d

Stars over time

2025-05-18 · 82026-07-07 · 9

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/shabbychef/ohenery on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (2)

data-raw/Makefile

Docs source (1)

README.Rmd

Git structural (1)

Submodules

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

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0.2

Imports (6)

Rcpp maxLik magrittrmethodsgenerics dplyr

LinkingTo (1)

Rcpp

Suggests (9)

rlang tidyr forcats microbenchmark testthat numDeriv ggplot2 scales knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

1indirect

CliquePercolation scov

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Steven E. Pav

Author, Maintainer

Authors (1)

Steven E. Pav

Author, Maintainer

Listed in earlier versions (1)

Steven E.

no longer listed · 0.1.0 to 0.1.4

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.1.4Latest
2025-09-09 · current release · diff ↗
0.1.3
2025-04-20 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.2
2024-10-25 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.1.1
2019-10-15 · diff ↗
0.1.0
2019-10-06
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-10-06
Total releases: 5 / 7 yrs
License: LGPL-3 OSI
Minimum R: ≥ 3.0.2
Bundled data: 581 KB / 3 files
Download size: 776 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ohenery")

Format

Pav, S. E. (2025). ohenery: Modeling of Ordinal Random Variables via Softmax Regression (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.ohenery

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 ohenery version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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