mispitools: Missing Person Identification Tools

An open source software package written in R statistical language. It consist in 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:	1.2.0
Depends:	R (≥ 2.10)
Imports:	forrel, pedtools, dplyr, tidyr, tidyverse, DirichletReg, stats, purrr, patchwork, reshape2, graphics, ggplot2, shiny
Published:	2024-08-17
DOI:	10.32614/CRAN.package.mispitools
Author:	Franco Marsico [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.pdf

Downloads:

Package source:	mispitools_1.2.0.tar.gz
Windows binaries:	r-devel: mispitools_1.2.0.zip, r-release: mispitools_1.2.0.zip, r-oldrel: mispitools_1.2.0.zip
macOS binaries:	r-release (arm64): mispitools_1.2.0.tgz, r-oldrel (arm64): mispitools_1.2.0.tgz, r-release (x86_64): mispitools_1.2.0.tgz, r-oldrel (x86_64): mispitools_1.2.0.tgz
Old sources:	mispitools archive

Reverse dependencies:

Reverse imports:

forensIT

Linking:

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