R Observatory: Metrics for forensicolors version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

forensicolors

1.0.0Package record

Forensic Colors

0packages depend

2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Franco MarsicoCRAN page ↗GitHub ↗Issues ↗

Computes likelihood ratios based on pigmentation traits. Also, it allows computing conditional probabilities for unidentified individuals based on missing person characteristics. A set of tailored plots are incorporated to analyze likelihood ratio distributions.

Install

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

install.packages("forensicolors", 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("MarsicoFL/forensicolors")

Development version from MarsicoFL/forensicolors. 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-forensicolors

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-forensicolors

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-forensicolors

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

2NOTE11OK

Check messages

NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Namespaces in Imports field not imported from:
  ‘dplyr’ ‘forrel’ ‘pedtools’ ‘plotly’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.5 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-06-09
ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5
Examples that run: 100%4 run in a plain check
Exported functions with examples: 80%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2K

CRAN downloads in the past year

Rank #23,060 · ~6/day · ~170/mo

Releases R versions

Daily download trend is not available in this view yet.

18930 days

57390 days

2K1 year

Compare downloads with other packages →

Also on66 r2u1 autocran

How downloads are counted

Repository

marsicofl/forensicolors ↗Account: MarsicoFL

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License file reads as GPL-3.0 · Last activity 2024-08-21

Responsiveness

not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/marsicofl/forensicolors on 2026-10-22.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing forensicolors adds 76 packages (39 with compiled code, 66 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 2.10

Imports (5)

forrel pedtools plotly dplyr ggplot2

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Franco Marsico

Author, Maintainer since 1.0.0 (2024)

Thore Egeland

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.0Latest
record
2024-05-01 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-05-01
Total releases: 1 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 2.10
Download size: 4.4 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("forensicolors")

Format

Marsico, F., & Egeland, T. (2024). forensicolors: Forensic Colors (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.forensicolors

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 forensicolors version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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