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_0.0.1.tgz(r-4.4-any)toolmaRk_0.0.1.tgz(r-4.3-any)
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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 105 downloads 2 exports 31 dependencies

Last updated 5 years agofrom:828f20a911. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 02 2024
R-4.5-win	NOTE	Nov 02 2024
R-4.5-linux	NOTE	Nov 02 2024
R-4.4-win	NOTE	Nov 02 2024
R-4.4-mac	NOTE	Nov 02 2024
R-4.3-win	OK	Nov 02 2024
R-4.3-mac	OK	Nov 02 2024