Package: toolmaRk 0.0.1

toolmaRk: Tests for Same-Source of Toolmarks

Implements two tests for same-source of toolmarks. The chumbley_non_random() test follows the paper "An Improved Version of a Tool Mark Comparison Algorithm" by Hadler and Morris (2017) <doi:10.1111/1556-4029.13640>. This is an extension of the Chumbley score as previously described in "Validation of Tool Mark Comparisons Obtained Using a Quantitative, Comparative, Statistical Algorithm" by Chumbley et al (2010) <doi:10.1111/j.1556-4029.2010.01424.x>. fixed_width_no_modeling() is based on correlation measures in a diamond shaped area of the toolmark as described in Hadler (2017).

Authors:Jeremy Hadler [aut, cre], Max Morris [ths], Heike Hofmann [ctb]

toolmaRk_0.0.1.tar.gz
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toolmaRk.pdf |toolmaRk.html✨
toolmaRk/json (API)
NEWS

# Install 'toolmaRk' in R:

install.packages('toolmaRk', repos = c('https://jrhadler.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jrhadler/toolmark/issues

Datasets:

ameslab - Toolmark profiles dataset

On CRAN:

2.70 score 1 stars 5 scripts 206 downloads 2 exports 25 dependencies

Last updated from:828f20a911. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	119
source / vignettes	OK	160
linux-release-x86_64	NOTE	138
macos-release-arm64	NOTE	117
macos-oldrel-arm64	NOTE	135
windows-devel	NOTE	144
windows-release	NOTE	103
windows-oldrel	NOTE	101
wasm-release	OK	95