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
- enron.sample - Enron sample
Last updated 1 months agofrom:43453de62c. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | NOTE | Nov 04 2024 |
R-4.5-linux | NOTE | Nov 04 2024 |
R-4.4-win | NOTE | Nov 04 2024 |
R-4.4-mac | NOTE | Nov 04 2024 |
R-4.3-win | NOTE | Nov 04 2024 |
R-4.3-mac | NOTE | Nov 04 2024 |
Exports:calibrate_LLRchunk_textsconcordancecontentmaskcreate_corpusdeltadensity_plotimpostorslambdaGlambdaG_patternslambdaG_visualizemost_similarngram_tracingperformanceposteriortokenize_sentsvectorize
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyrdtte1071englishfansifarverfastmatchfdrtoolforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathereipredisobandISOcodesiteratorsjsonliteKernSmoothkgramslabelinglatticelavalexiconlifecyclelistenvlubridatemagrittrMASSMatrixmgcvmgsubModelMetricsmunsellnlmeNLPnnetnsyllablenumDerivparallellypbapplypillarpkgconfigplyrpngpROCprodlimprogressrproxyproxyCpurrrqdapRegexquantedaquanteda.textstatsR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppProgressRcppTOMLRdpackrecipesreshape2reticulaterlangrpartrprojrootscalesshapeslamSnowballCspacyrSQUAREMstopwordsstringistringrsurvivalsyuzhettextcleantextshapetibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxml2yamlzoo
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 |