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The 'forensIT' package is a comprehensive statistical toolkit tailored for handling missing person cases. By leveraging information theory metrics, it enables accurate assessment of kinship, particularly when limited genetic evidence is available. With a focus on optimizing statistical power, 'forensIT' empowers investigators to effectively prioritize family members, enhancing the reliability and efficiency of missing person investigations.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | ggplot2, mispitools, forrel, pedprobr, dplyr, tidyr, magrittr, fbnet, foreach, hrbrthemes, gtools, pedtools, reshape2, iterators, doParallel, paramlink |
| Published: | 2023-06-22 |
| DOI: | 10.32614/CRAN.package.forensIT |
| Author: | Franco Marsico [aut, cre], Ariel Chernomoretz [aut] |
| Maintainer: | Franco Marsico <franco.lmarsico at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | forensIT results |
| Reference manual: | forensIT.pdf |
| Package source: | forensIT_1.0.0.tar.gz |
| Windows binaries: | r-devel: forensIT_1.0.0.zip, r-release: forensIT_1.0.0.zip, r-oldrel: forensIT_1.0.0.zip |
| macOS binaries: | r-release (arm64): forensIT_1.0.0.tgz, r-oldrel (arm64): forensIT_1.0.0.tgz, r-release (x86_64): forensIT_1.0.0.tgz, r-oldrel (x86_64): forensIT_1.0.0.tgz |
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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.
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