Functions for calculating and evaluating likelihood ratios from uni/multivariate continuous observations. The package includes the twolevel 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.00359254.2003.05271.x>, "Evaluation of trace evidence in the form of multivariate data," Journal of the Royal Statistical Society: Series C (Applied Statistics), 53: 109122. The ECE functions are based primarily on D. Ramos and J. GonzalezRodrigues, (2008) "Crossentropy analysis of the information in forensic speaker recognition," in Proc. IEEE Odyssey, Speaker Lang. Recognit. Workshop.
Package details 


Author  David Lucy [aut], James Curran [aut, cre], Agnieszka Martyna [aut] 
Maintainer  James Curran <j.curran@auckland.ac.nz> 
License  GPL (>= 2) 
Version  1.05 
URL  github.com/jmcurran/comparison 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.