NEWS.md
In handwriterRF: Handwriting Analysis with Random Forests

handwriterRF 1.1.1

Fixed the vignette, training-slr-model.Rmd, to save files to the temporary directory instead of the Desktop.

handwriterRF 1.1.0

Two New Vignettes:
An Introduction to the SLR Model: This vignette provides an overview of the score-based likelihood ratio (SLR) method used by handwriterRF to compare handwriting samples. It explains how the package uses a pre-trained random forest and a set of reference similarity scores to calculate SLRs.
SLR Model Tutorial: This tutorial demonstrates how to train your own random forest model and generate your own set of reference similarity scores for SLR calculations.
New Function: compare_documents(). The compare_documents() function allows users to compare two handwritten documents, either by a similarity score or using the score-based likelihood ratio (SLR) method. This function consolidates the functionality of calculate_slr() and offers additional flexibility, allowing users to choose whether to return just the similarity score or both the similarity score and the SLR.
New Function: compare_writer_profiles(). To optimize large-scale experiments, compare_writer_profiles() provides a more efficient alternative to compare_documents(). In experiments involving many comparisons with the same document, compare_documents() can be slow, as it reprocesses the same document multiple times. compare_writer_profiles() solves this by allowing each document to be processed only once, even if it is used in several comparisons.
New Function: plot_scores(). The plot_scores() function allows users to visualize histograms of same-writer and different-writer similarity scores created with get_ref_scores(), providing an easy way to analyze and compare similarity scores from a dataframe of writer profiles.
New Dataframes: train, validation, and test. These new dataframes store writer profiles for training, validation, and testing purposes. The package creates random_forest from the train dataframe, and the reference similarity scores, ref_scores, from the validation dataframe.
Function Update: get_cluster_fill_rates(). The function get_cluster_fill_rates() has been introduced in the handwriter R package to calculate cluster fill rates for one or more handwriting samples. This supersedes the previous version of get_cluster_fill_rates() included in handwriterRF.

handwriterRF 1.0.2

Removed quotes around "same writer" and "different writer" in documentation.
Removed dontrun{} from the examples for random_forest. Changed example for get_distances() to something that runs in less than 5 seconds and removed dontrun{} from this example. The examples for calculate_slr() take longer than 5 seconds to run so dontrun{} was changed to donttest{} for these examples.