Package: handwriterRF 1.1.1.9000
Stephanie Reinders
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.
Authors:
handwriterRF_1.1.1.9000.tar.gz
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handwriterRF.pdf |handwriterRF.html✨
handwriterRF/json (API)
NEWS
| # Install 'handwriterRF' in R: |
| install.packages('handwriterRF', repos = c('https://csafe-isu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/csafe-isu/handwriterrf/issues
- cfc - A Dataframe of Cluster Fill Counts
- random_forest - A 'ranger' Random Forest and Data Frame of Distances
- ref_scores - Reference Similarity Scores
- templateK40 - Cluster Template with 40 Clusters
- test - A Test Set of Cluster Fill Rates
- train - A Training Set of Cluster Fill Rates
- validation - A Validation Set of Cluster Fill Rates
Last updated 20 hours agofrom:b71886a8c7. Checks:6 OK, 2 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 29 2025 |
| R-4.5-win | OK | Jan 29 2025 |
| R-4.5-mac | OK | Jan 29 2025 |
| R-4.5-linux | OK | Jan 29 2025 |
| R-4.4-win | OK | Jan 29 2025 |
| R-4.4-mac | OK | Jan 29 2025 |
| R-4.3-win | ERROR | Jan 29 2025 |
| R-4.3-mac | ERROR | Jan 29 2025 |
Exports:%>%calculate_slrcompare_documentscompare_writer_profilesget_cluster_fill_ratesget_distancesget_rates_of_misleading_slrsget_ref_scoresinterpret_slrplot_scorestrain_rf
Dependencies:abindbackportsbootbroomcarcarDataclicodacodetoolscolorspacecorrplotcowplotcpp11curlDerivdoBydoParalleldplyrfansifarverforeachFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehandwriterigraphisobanditeratorslabelinglatticelifecyclelme4lpSolvemagickmagrittrMASSMatrixMatrixModelsmc2dmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpngpolynompurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratRdpackreformulasreshape2RfastrjagsrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate a Score-Based Likelihood Ratio | calculate_slr |
| A Dataframe of Cluster Fill Counts | cfc |
| Compare Documents | compare_documents |
| Compare Writer Profiles | compare_writer_profiles |
| Get Cluster Fill Rates | get_cluster_fill_rates |
| Get Distances | get_distances |
| Get Rates of Misleading Evidence for SLRs | get_rates_of_misleading_slrs |
| Get Reference Scores | get_ref_scores |
| Interpret an SLR Value | interpret_slr |
| Plot Scores | plot_scores |
| A 'ranger' Random Forest and Data Frame of Distances | random_forest |
| Reference Similarity Scores | ref_scores |
| Cluster Template with 40 Clusters | templateK40 |
| A Test Set of Cluster Fill Rates | test |
| A Training Set of Cluster Fill Rates | train |
| Train a Random Forest | train_rf |
| A Validation Set of Cluster Fill Rates | validation |
