random_forest

A list that contains a trained random forest created with ranger and
the dataframe of distances used to train the random forest.

datasets

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.

Stephanie Reinders

handwriterRF

Handwriting Analysis with Random Forests

Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence 

random_forest function

A list with the following components:<dl>
<dt>rf</dt>
<dd>A random forest created with ranger with settings:
importance = 'permutation', scale.permutation.importance = TRUE, and num.trees = 200.</dd><dt>distance_measures</dt>
<dd>A vector of the distance measures used to train the random forest: c('abs', 'euc')</dd>
</dl>

Format

A ranger Random Forest and Data Frame of Distances — random_forest

A list with the following components:<dl>
<dt>rf</dt>
<dd>A random forest created with ranger with settings:
importance = 'permutation', scale.permutation.importance = TRUE, and num.trees = 200.</dd>

<dt>distance_measures</dt>
<dd>A vector of the distance measures used to train the random forest: c('abs', 'euc')</dd>


</dl>

random_forest: A ranger Random Forest and Data Frame of Distances

Description

Usage

Arguments

Format

Examples