R: Multivariate Likelihood Ratio Calculation and Evaluation

# Multivariate Likelihood Ratio Calculation and Evaluation

## Documentation for package ‘comparison’ version 1.0.8

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

calc.ece | Empirical cross-entropy (ECE) calculation
calcLR | Calculate the likelihood ratio
calibrate.set | Calculate the calibrated set of idea LRs
glass | Glass composition data for seven elements from 200 glass items.
logistic.apply.calibration | Calculate the calibrated LRs with the model precomputed
logistic.calibrate.get.model | Compute and returns the logistic regression for a dataset
logistic.calibrate.set | Calculate the calibrated set of LRs with the logistic regression
makeCompItem | Create a 'compitem' object.
makeCompItem.formula | Create a 'compitem' object.
makeCompVar | Compute integrated means and covariances
makeCompVar.default | Compute integrated means and covariances
makeCompVar.formula | Compute integrated means and covariances
plot.ece | An S3 plot method for objects of class 'ece'
print.compitem | S3 method for class 'compitem'
two.level.comparison.items | Create a 'compitem' object.
two.level.components | Compute integrated means and covariances
two.level.density.LR | Calculate the likelihood ratio using multivariate KDEs
two.level.lindley.LR | Likelihood ratio calculation using Lindley's approach
two.level.normal.LR | Likelihood ratio calculation - normal