Package: comparison 1.0-5
comparison: Multivariate Likelihood Ratio Calculation and Evaluation
Functions for calculating and evaluating likelihood ratios from uni/multivariate continuous observations. The package includes the two-level functions to calculate the LR assuming multivariate normality, and another with drops this assumption and uses a multivariate kernel density estimate. The package also contains code to perform empirical cross entropy (ECE) calibration of likelihood ratios. The LR functions are based primarily on Aitken, C.G.G. and Lucy, D. (2004) <doi:10.1046/j.0035-9254.2003.05271.x>, "Evaluation of trace evidence in the form of multivariate data," Journal of the Royal Statistical Society: Series C (Applied Statistics), 53: 109-122. The ECE functions are based primarily on D. Ramos and J. Gonzalez-Rodrigues, (2008) "Cross-entropy analysis of the information in forensic speaker recognition," in Proc. IEEE Odyssey, Speaker Lang. Recognit. Workshop.
Authors:
comparison_1.0-5.tar.gz
comparison_1.0-5.zip(r-4.5)comparison_1.0-5.zip(r-4.4)comparison_1.0-5.zip(r-4.3)
comparison_1.0-5.tgz(r-4.4-any)comparison_1.0-5.tgz(r-4.3-any)
comparison_1.0-5.tar.gz(r-4.5-noble)comparison_1.0-5.tar.gz(r-4.4-noble)
comparison_1.0-5.tgz(r-4.4-emscripten)comparison_1.0-5.tgz(r-4.3-emscripten)
comparison.pdf |comparison.html✨
comparison/json (API)
# Install 'comparison' in R: |
install.packages('comparison', repos = c('https://jmcurran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jmcurran/comparison/issues
- glass - Glass composition data for seven elements from 200 glass items.
Last updated 4 years agofrom:11b7d8b548. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | ERROR | Nov 04 2024 |
R-4.5-linux | ERROR | Nov 04 2024 |
R-4.4-win | ERROR | Nov 04 2024 |
R-4.4-mac | ERROR | Nov 04 2024 |
R-4.3-win | ERROR | Nov 04 2024 |
R-4.3-mac | ERROR | Nov 04 2024 |
Exports:calc.ececalibrate.settwo.level.comparison.itemstwo.level.componentstwo.level.density.LRtwo.level.lindley.LRtwo.level.normal.LR
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Empirical cross-entropy (ECE) calculation | calc.ece |
Calculate the calibrated set of idea LRs | calibrate.set |
comparison: A package for computing likelihood ratios for univariate and multivariate evidence. | comparison |
Glass composition data for seven elements from 200 glass items. | glass |
An S3 plot method for objects of class 'ece' | plot.ece |
Create a 'compitem' object. | two.level.comparison.items |
Compute integrated means and covariances | two.level.components |
Calculate the likelihood ratio using multivariate KDEs | two.level.density.LR |
Likelihood ratio calculation using Lindley's approach | two.level.lindley.LR |
Likelihood ratio calculation - normal | two.level.normal.LR |