Package: handwriterRF 1.1.1
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.tar.gz
handwriterRF_1.1.1.tar.gz(r-4.7-any)handwriterRF_1.1.1.tar.gz(r-4.6-any)
handwriterRF_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
handwriterRF/json (API)
NEWS
| # Install 'handwriterRF' in R: |
| install.packages('handwriterRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/csafe-isu/handwriterrf/issues
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- c++– GNU Standard C++ Library v3
- 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 from:9d016a6d75. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 333 | ||
| source / vignettes | OK | 286 | ||
| linux-release-x86_64 | OK | 368 | ||
| wasm-release | OK | 149 |
Exports:%>%calculate_slrcompare_documentscompare_writer_profilesget_cluster_fill_ratesget_distancesget_rates_of_misleading_slrsget_ref_scoresinterpret_slrplot_scorestrain_rf
Dependencies:abindbackportsbootbroomcarcarDataclicodacodetoolscolorspacecorrplotcowplotcpp11curlDerivdoBydoParalleldplyrfarverforeachforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehandwriterigraphisobanditeratorslabelinglatticelifecyclelme4lmtestlpSolvemagickmagrittrMASSMatrixMatrixModelsmc2dmgcvmicrobenchmarkminqamodelrmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpngpolynompurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasreshape2RfastrjagsrlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrziggzoo
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 |
