R Observatory: Metrics for RcppDPR version 0.1.10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RcppDPR

0.1.10Package record

'Rcpp' Implementation of Dirichlet Process Regression

0packages depend

2.1Kdownloads / year

77.5%test coverage

13/13flavors OK

Overview

About

Maintained by Mohammad Abu GazalaCRAN 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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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

CRAN check page ↗

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

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.10

READMENoVignettesNoNEWSYes · 100% structured · mentions 0.1.10Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #22,303 · ~6/day · ~176/mo

Releases R versions

Daily download trend is not available in this view yet.

18730 days

59790 days

2.1K1 year

Compare downloads with other packages →

Also on364 r2u4.4K conda_forge

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing RcppDPR adds 3 packages (3 with compiled code, 3.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, RcppGSL 364 KB.

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.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Mohammad Abu Gazala

Maintainer since 0.1.9 (2025), Author

Daniel Nachun

Contributor

Ping Zeng

Contributor

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.10Latest
record
2025-03-19 · current release · diff ↗
0.1.9
record
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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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