R Observatory: Metrics for mispitools version 1.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mispitools

1.4.0

Missing Person Identification Tools

0packages depend

5.4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Franco MarsicoFirst published 2021-12-0313 releasesCRAN page ↗GitHub ↗

A comprehensive toolkit for missing person identification combining genetic and non-genetic evidence within a Bayesian framework. Computes likelihood ratios (LRs) for DNA profiles, biological sex, age, hair color, and birthdate evidence. Provides decision analysis tools including optimal LR thresholds, error rate calculations, and ROC curve visualization. Includes interactive Shiny applications for exploring evidence combinations. For methodological details see Marsico et al. (2023) doi:10.1016/j.fsigen.2023.102891 and Marsico, Vigeland et al. (2021) doi:10.1016/j.fsigen.2021.102519.

Install

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

install.packages("mispitools", 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/mispitools")

Development version from MarsicoFL/mispitools. 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-mispitools

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-mispitools

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-mispitools

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

Health

CRAN checks

13OK

Slowest check: 4.1 min · r-release-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

13

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 724 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 97%
References docs: 98%

Downloads

5.4K

CRAN downloads in the past year

Rank #6,526 · ~15/day · ~448/mo

Releases R versions

Daily download trend is not available in this view yet.

18930 days

1.3K90 days

5.4K1 year

Compare downloads with other packages →

Also on115 r2u15 autocran

Repository

GitHub ↗ marsicofl/mispitools

37Stars

13Forks

7Open issues

0Open PRs

13Releases

479Commits

13Contributors

bayesian-inferencekinship

License GPL-3.0 · 479 commits · Last activity 2026-04-04 · 0% stars, 30d

Stars over time

2025-03-17 · 352026-07-07 · 37

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/marsicofl/mispitools on 2026-08-16.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (13)

forrel pedtools dplyr tidyrstatsreshape2 patchworkgraphicsggplot2 DirichletReg pROC shiny shinythemes

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Franco Marsico

Author, Maintainer

Authors (1)

Franco Marsico

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.4.0Latest
2026-01-09 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.2.0
2024-08-17 · diff ↗
1.1.0
2024-07-08 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.0
2023-09-05 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.4.0
2023-04-06 · diff ↗
0.3.0
2023-02-27 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.2.1
2022-03-29 · diff ↗
0.2.0
2022-03-26 · diff ↗
0.1.9
2022-02-18 · diff ↗
0.1.5
2022-01-04 · diff ↗
0.1.3
2021-12-20 · diff ↗

Show 3 earlier events

0.1.1
2021-12-10 · diff ↗
0.1.0
2021-12-03
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-12-03
Total releases: 13 / 5 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Bundled data: 22 KB / 8 files
Download size: 1.0 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mispitools")

Format

Marsico, F. (2026). mispitools: Missing Person Identification Tools (Version 1.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.mispitools

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 mispitools version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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