mispitools: Missing Person Identification Tools

A set of decision making tools to conduct missing person searches. Particularly, it allows computing optimal LR threshold for declaring potential matches in DNA-based database search. More recently 'mispitools' incorporates preliminary investigation data based LRs. Statistical weight of different traces of evidence such as biological sex, age and hair color are presented. For citing mispitools please use the following references: Marsico and Caridi, 2023 <doi:10.1016/j.fsigen.2023.102891> and Marsico, Vigeland et al. 2021 <doi:10.1016/j.fsigen.2021.102519>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: forrel, pedtools, plotly, dplyr, highcharter, tidyr, tidyverse, DirichletReg, stats, purrr, patchwork, reshape2, graphics, ggplot2, shiny
Published: 2023-09-05
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


Reference manual: mispitools.pdf


Package source: mispitools_1.0.0.tar.gz
Windows binaries: r-devel: mispitools_1.0.0.zip, r-release: mispitools_1.0.0.zip, r-oldrel: mispitools_1.0.0.zip
macOS binaries: r-release (arm64): mispitools_1.0.0.tgz, r-oldrel (arm64): mispitools_1.0.0.tgz, r-release (x86_64): mispitools_1.0.0.tgz, r-oldrel (x86_64): mispitools_1.0.0.tgz
Old sources: mispitools archive

Reverse dependencies:

Reverse imports: forensIT


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