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:David Lucy [aut], James Curran [aut, cre], Agnieszka Martyna [aut]

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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'))

Peer review:

Bug tracker:https://github.com/jmcurran/comparison/issues

Datasets:
  • glass - Glass composition data for seven elements from 200 glass items.

On CRAN:

4.41 score 3 stars 17 scripts 244 downloads 13 mentions 7 exports 2 dependencies

Last updated 4 years agofrom:11b7d8b548. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winERRORNov 04 2024
R-4.5-linuxERRORNov 04 2024
R-4.4-winERRORNov 04 2024
R-4.4-macERRORNov 04 2024
R-4.3-winERRORNov 04 2024
R-4.3-macERRORNov 04 2024

Exports:calc.ececalibrate.settwo.level.comparison.itemstwo.level.componentstwo.level.density.LRtwo.level.lindley.LRtwo.level.normal.LR

Dependencies:isotonennls