R Observatory: Metrics for BinaryEPPM version 3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BinaryEPPM

3.0

Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data

0packages depend

2.6Kdownloads / year

–test coverage

8/13checks pass

Overview

About

Maintained by David M. SmithFirst published 2015-05-146 releasesCRAN page ↗

Under- and over-dispersed binary data are modeled using an extended Poisson process model (EPPM) appropriate for binary data. A feature of the model is that the under-dispersion relative to the binomial distribution only needs to be greater than zero, but the over-dispersion is restricted compared to other distributional models such as the beta and correlated binomials. Because of this, the examples focus on under-dispersed data and how, in combination with the beta or correlated distributions, flexible models can be fitted to data displaying both under- and over-dispersion. Using Generalized Linear Model (GLM) terminology, the functions utilize linear predictors for the probability of success and scale-factor with various link functions for p, and log link for scale-factor, to fit a variety of models relevant to areas such as bioassay. Details of the EPPM are in Faddy and Smith (2012) doi:10.1002/bimj.201100214 and Smith and Faddy (2019) doi:10.18637/jss.v090.i08.

Install

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

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

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

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-binaryeppm

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-BinaryEPPM

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-BinaryEPPM

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

Health

CRAN checks

5NOTE8OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc
NOTE r-devel-windows-x86_64

Slowest check: 2.2 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

7

Dependencies · direct

Check history

NOTE2026-07-16
10 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 96%
Documented parameters: 83%
Return-value docs: 100%
References docs: 76%

Downloads

2.6K

CRAN downloads in the past year

Rank #14,210 · ~7/day · ~217/mo

Releases R versions

Daily download trend is not available in this view yet.

20030 days

73190 days

2.6K1 year

Compare downloads with other packages →

Also on113 r2u32 autocran

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (7)

Formula expm numDerivstatslmtestgrDevicesgraphics

LinkingTo (0)

none

Suggests (1)

R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

David M. Smith

Author, Maintainer

Authors (2)

David M. Smith

Author, Maintainer

Malcolm J. Faddy

Author

Listed in earlier versions (4)

Malcolm J Faddy

no longer listed · 1.0 to 2.3

David M Smith

no longer listed · 1.0 to 2.3

Malcolm J.

no longer listed · 3.0

David M.

no longer listed · 3.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
3.0Latest
2024-06-04 · current release · diff ↗
unarchivedReturned to CRAN
2024-06-04
R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2023-08-19
email to the maintainer is undeliverable
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
2.3
2019-07-31 · diff ↗
R
R 3.6.0 released · 2019-04-26
2.2
2018-05-01 · diff ↗
R
R 3.5.0 released · 2018-04-23
2.1
2017-11-23 · diff ↗
R
R 3.4.0 released · 2017-04-21

Show 4 earlier events

2.0
2016-11-28 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.0
2015-05-14
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-05-14
Total releases: 6 / 11 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5.0
Bundled data: 3.0 KB / 8 files
Download size: 237 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BinaryEPPM")

Format

Smith, D. M., & Faddy, M. J. (2024). BinaryEPPM: Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data (Version 3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BinaryEPPM

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 BinaryEPPM version 3.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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