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toolmaRk  

Tests for Same-Source of Toolmarks
View on CRAN: Click here


Download and install toolmaRk package within the R console
Install from CRAN:
install.packages("toolmaRk")

Install from Github:
library("remotes")
install_github("cran/toolmaRk")

Install by package version:
library("remotes")
install_version("toolmaRk", "0.0.2")



Attach the package and use:
library("toolmaRk")
Maintained by
Jeremy Hadler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-16
Latest Update: 2018-01-16
Description:
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).
How to cite:
Jeremy Hadler (2018). toolmaRk: Tests for Same-Source of Toolmarks. R package version 0.0.2, https://cran.r-project.org/web/packages/toolmaRk. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-09-14 23:00), 0.0.1 (2018-01-16 11:37)
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Other R packages that toolmaRk depends, imports, suggests or enhances
Complete documentation for toolmaRk
Functions, R codes and Examples using the toolmaRk R package
Some associated functions: ameslab . chumbley_non_random . fixed_width_no_modeling . 
Some associated R codes: chumbley-non-random.R . data.R . distance-threshold.R .  Full toolmaRk package functions and examples
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