R Observatory: Metrics for dPCP version 2.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

dPCP

2.0.3Package record

Automated Analysis of Multiplex Digital PCR Data

0packages depend

3.5Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Alfonso De FalcoCRAN page ↗GitHub ↗Issues ↗

The automated clustering and quantification of the digital PCR data is based on the combination of 'DBSCAN' (Hahsler et al. (2019) doi:10.18637/jss.v091.i01) and 'c-means' (Bezdek et al. (1981) doi:10.1007/978-1-4757-0450-1) algorithms. The analysis is independent of multiplexing geometry, dPCR system, and input amount. The details about input data and parameters are available in the vignette.

Install

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

install.packages("dPCP", 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("alfodefalco/dPCP")

Development version from alfodefalco/dPCP. 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-dpcp

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-dPCP

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-dPCP

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

Documentation signals are not tracked yet for this package.

Websitenot declared in DESCRIPTION

Vignettes (1)

Digital PCR Cluster Predictor: a Universal Tool for the Automated Analysis of Multiplex Digital PCR Data HTML

How these are measured

Downloads

3.5K

CRAN downloads in the past year

Rank #7,746 · ~10/day · ~290/mo

dPCP Releases R versions

Daily download trend is not available in this view yet.

45230 days

1.1K90 days

3.5K1 year

Compare downloads with other packages →

Also on88 r2u7 autocran

How downloads are counted

Repository

alfodefalco/dpcp ↗Account: alfodefalco

3Stars

0Forks

0Open issues

0Open PRs

0Releases

36Commits

2Commit identities

36 commits · Last activity 2026-06-22 · 0% stars, 30d

Responsiveness

not measured

How these are measured

PracticesBeta

Checks run against github.com/alfodefalco/dpcp on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing dPCP adds 117 packages (61 with compiled code, 106 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.0.0

Imports (15)

clusterdbscan e1071 exactci ggplot2 ggpubrgraphicsraster rlist scales shiny shinyjsstatsstringrutils

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

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 (5)

Alfonso De Falco

Author, Maintainer since 1.0.3 (2020)

Michel Mittelbronn

Contributor

Christophe Olinger

Contributor

Daniel Stieber

Contributor

Laboratoire national de santé

Copyright holder

Releases (5)

2.0.3Latest
record
2026-06-23 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.0.1
record
2023-08-12 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.0.0
record
2022-12-15 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.0.4
record
2021-07-29 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.0.3
record
2020-09-25
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-09-25
Total releases: 5 / 6 yrs
License: MIT + file LICENSE OSI
Download size: 2.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dPCP")

Format

De Falco, A., Laboratoire national de santé, Mittelbronn, M., Olinger, C., & Stieber, D. (2026). dPCP: Automated Analysis of Multiplex Digital PCR Data (Version 2.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.dPCP

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 dPCP version 2.0.3 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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