The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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

Reverse dependencies:

Reverse imports: handwriterApp

Linking:

Please use the canonical form https://CRAN.R-project.org/package=handwriterRF to link to this page.

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.