The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

mispitools: Missing Person Identification Tools

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>.

Version: 1.4.0
Depends: R (≥ 3.5.0)
Imports: forrel, pedtools, dplyr, tidyr, stats, reshape2, patchwork, graphics, ggplot2, DirichletReg, pROC, shiny, shinythemes
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-01-09
DOI: 10.32614/CRAN.package.mispitools
Author: Franco Marsico ORCID iD [aut, cre]
Maintainer: Franco Marsico <franco.lmarsico at gmail.com>
BugReports: https://github.com/MarsicoFL/mispitools/issues
License: GPL (≥ 3)
URL: https://github.com/MarsicoFL/mispitools
NeedsCompilation: no
Materials: README
CRAN checks: mispitools results

Documentation:

Reference manual: mispitools.html , mispitools.pdf
Vignettes: Introduction to mispitools (source, R code)
Complete Workflow: Combining Genetic and Non-Genetic Evidence (source, R code)

Downloads:

Package source: mispitools_1.4.0.tar.gz
Windows binaries: r-devel: mispitools_1.4.0.zip, r-release: mispitools_1.4.0.zip, r-oldrel: mispitools_1.4.0.zip
macOS binaries: r-release (arm64): mispitools_1.4.0.tgz, r-oldrel (arm64): mispitools_1.4.0.tgz, r-release (x86_64): mispitools_1.4.0.tgz, r-oldrel (x86_64): mispitools_1.4.0.tgz
Old sources: mispitools archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mispitools to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.