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handwriterRF: Handwriting Analysis with Random Forests

Perform forensic handwriting analysis of two scanned handwritten documents. This package implements the statistical method described by Madeline Johnson and Danica Ommen (2021) <doi:10.1002/sam.11566>. Similarity measures and a random forest produce a score-based likelihood ratio that quantifies the strength of the evidence in favor of the documents being written by the same writer or different writers.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: dplyr, handwriter, magrittr, purrr, ranger, reshape2, tidyr, tidyselect
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), tibble
Published: 2024-11-03
DOI: 10.32614/CRAN.package.handwriterRF
Author: Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Stephanie Reinders [aut, cre]
Maintainer: Stephanie Reinders <reinders.stephanie at gmail.com>
BugReports: https://github.com/CSAFE-ISU/handwriterRF/issues
License: GPL (≥ 3)
URL: https://github.com/CSAFE-ISU/handwriterRF
NeedsCompilation: no
Materials: README NEWS
CRAN checks: handwriterRF results

Documentation:

Reference manual: handwriterRF.pdf
Vignettes: handwriterRF (source)

Downloads:

Package source: handwriterRF_1.0.2.tar.gz
Windows binaries: r-devel: handwriterRF_1.0.2.zip, r-release: handwriterRF_1.0.2.zip, r-oldrel: not available
macOS binaries: r-release (arm64): handwriterRF_1.0.2.tgz, r-oldrel (arm64): not available, r-release (x86_64): handwriterRF_1.0.2.tgz, r-oldrel (x86_64): not available

Linking:

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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.