Package: forensicolors 1.0.0

forensicolors: Forensic Colors

An open source software package written in R statistical language. It consist in a set of tools to compute likelihood ratios based on pigmentation traits. Also, it allows computing conditional probabilities for unidentified individuals based on missing person characteristics. A set of tailored plots are incorporated to analyze likelihood ratio distributions.

Authors:Franco Marsico [aut, cre], Thore Egeland [aut]

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forensicolors.pdf |forensicolors.html
forensicolors/json (API)

# Install 'forensicolors' in R:
install.packages('forensicolors', repos = c('https://marsicofl.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/marsicofl/forensicolors/issues

On CRAN:

3.30 score 1 scripts 134 downloads 5 exports 81 dependencies

Last updated 3 months agofrom:ad46276fe8. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-winNOTEOct 24 2024
R-4.5-linuxNOTEOct 24 2024
R-4.4-winNOTEOct 24 2024
R-4.4-macNOTEOct 24 2024
R-4.3-winNOTEOct 24 2024
R-4.3-macNOTEOct 24 2024

Exports:compute_LRsconditionedPropplotLRrefPropsimRef

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforrelfsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekinship2knitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpbapplypedFamiliaspedmutpedprobrpedtoolspillarpkgconfigplotlypromisespurrrquadprogR6rappdirsRColorBrewerRcppribdrlangrmarkdownsassscalesslamstringistringrsystibbletidyrtidyselecttinytexutf8vctrsverbalisrviridisLitewithrxfunyaml