R Observatory: Metrics for RcppDPR version 0.1.10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RcppDPR

0.1.10

'Rcpp' Implementation of Dirichlet Process Regression

0packages depend

2Kdownloads / year

77.5%test coverage

13/13checks pass

Overview

About

Maintained by Mohammad Abu GazalaFirst published 2025-03-152 releasesCRAN page ↗

'Rcpp' reimplementation of the the Bayesian non-parametric Dirichlet Process Regression model for penalized regression first published in Zeng and Zhou (2017) doi:10.1038/s41467-017-00470-2. A full Bayesian version is implemented with Gibbs sampling, as well as a faster but less accurate variational Bayes approximation.

Install

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

install.packages("RcppDPR", 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-rcppdpr

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-RcppDPR

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

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

Health

CRAN checks

13OK

Slowest check: 12.7 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 75.52

77.5%

Coverage · measured lines

100%

Documentation · exports

1

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
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2K

CRAN downloads in the past year

Rank #19,900 · ~5/day · ~163/mo

Releases R versions

Daily download trend is not available in this view yet.

12230 days

55490 days

2K1 year

Compare downloads with other packages →

Also on402 r2u3.7K conda_forge

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

Rcpp

LinkingTo (3)

Rcpp RcppArmadillo RcppGSL

Suggests (2)

testthat snpStats

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Mohammad Abu Gazala

Maintainer, Author

Authors (1)

Mohammad Abu Gazala

Maintainer, Author

Contributors (2)

Daniel Nachun

Contributor

Ping Zeng

Contributor

Package Timeline

2 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
0.1.10Latest
2025-03-19 · current release · diff ↗
0.1.9
2025-03-15
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-03-15
Total releases: 2 / 1 yrs
License: GPL-3 OSI
Download size: 2.9 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RcppDPR")

Format

Abu Gazala, M., Nachun, D., & Zeng, P. (2025). RcppDPR: 'Rcpp' Implementation of Dirichlet Process Regression (Version 0.1.10) [Computer software]. https://doi.org/10.32614/CRAN.package.RcppDPR

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 RcppDPR version 0.1.10 [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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