Package: idiolect 1.0.1.9000
idiolect: Forensic Authorship Analysis
Carry out comparative authorship analysis of disputed and undisputed texts within the Likelihood Ratio Framework for expressing evidence in forensic science. This package contains implementations of well-known algorithms for comparative authorship analysis, such as Smith and Aldridge's (2011) Cosine Delta <doi:10.1080/09296174.2011.533591> or Koppel and Winter's (2014) Impostors Method <doi:10.1002/asi.22954>, as well as functions to measure their performance and to calibrate their outputs into Log-Likelihood Ratios.
Authors:
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idiolect.pdf |idiolect.html✨
idiolect/json (API)
NEWS
| # Install 'idiolect' in R: |
| install.packages('idiolect', repos = c('https://andreanini.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/andreanini/idiolect/issues
Pkgdown site:https://andreanini.github.io
- enron.sample - Enron sample
Last updated 5 months agofrom:43453de62c. Checks:1 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 04 2025 |
| R-4.5-win | NOTE | Mar 04 2025 |
| R-4.5-mac | NOTE | Feb 02 2025 |
| R-4.5-linux | NOTE | Mar 04 2025 |
| R-4.4-win | NOTE | Mar 04 2025 |
| R-4.4-mac | NOTE | Mar 04 2025 |
| R-4.4-linux | NOTE | Mar 04 2025 |
| R-4.3-win | NOTE | Mar 04 2025 |
| R-4.3-mac | NOTE | Mar 04 2025 |
Exports:calibrate_LLRchunk_textsconcordancecontentmaskcreate_corpusdeltadensity_plotimpostorslambdaGlambdaG_patternslambdaG_visualizemost_similarngram_tracingperformanceposteriortokenize_sentsvectorize
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyrdtte1071englishfansifarverfastmatchfdrtoolforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathereipredisobandISOcodesiteratorsjsonliteKernSmoothkgramslabelinglatticelavalexiconlifecyclelistenvlubridatemagrittrMASSMatrixmgcvmgsubModelMetricsmunsellnlmeNLPnnetnsyllablenumDerivparallellypbapplypillarpkgconfigplyrpngpROCprodlimprogressrproxyproxyCpurrrqdapRegexquantedaquanteda.textstatsR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppProgressRcppTOMLRdpackrecipesreshape2reticulaterlangrpartrprojrootscalesshapeslamSnowballCspacyrsparsevctrsSQUAREMstopwordsstringistringrsurvivalsyuzhettextcleantextshapetibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxml2yamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calibrate scores into Log-Likelihood Ratios | calibrate_LLR |
| Chunk a corpus | chunk_texts |
| Qualitative examination of evidence | concordance |
| Content masking | contentmask |
| Create a corpus | create_corpus |
| Delta | delta |
| Plot density of TRUE/FALSE distributions | density_plot |
| Enron sample | enron.sample |
| Impostors Method | impostors |
| Apply the LambdaG algorithm | lambdaG |
| Extract patterns from the output of the LambdaG algorithm | lambdaG_patterns |
| Visualize the output of the LambdaG algorithm | lambdaG_visualize |
| Select the most similar texts to a specific text | most_similar |
| N-gram tracing | ngram_tracing |
| Performance evaluation | performance |
| Posterior prosecution probabilities and odds | posterior |
| Tokenize to sentences | tokenize_sents |
| Vectorize data | vectorize |
