Multivariate Likelihood Ratio Calculation and Evaluation
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Documentation for package ‘comparison’ version 1.0.8
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 |