Description Usage Arguments Details Value Author(s) References See Also

View source: R/calibrate.set.R

Calculates and returns the calibrated set of `ideal' LRs from the observed LRs using the penalised adjacent violators algorithm. This is very much a rewrite of Nico Brummer's `

optloglr()' function for Matlab.

1 | ```
calibrate.set(LR.ss, LR.ds, method = c("raw", "laplace"))
``` |

`LR.ss` |
a vector of likelihood ratios for the comparisons of items known to be from the same source |

`LR.ds` |
a vector of likelihood ratios for the comparisons of items known to be from different sources |

`method` |
the method used to perform the calculation, either |

This is an internal function, and is not meant to be called directly. However it has been exported just in case.

a `list`

with two items:

- LR.cal.ss
calibrated LRs for the comparison for same set

- LR.cal.ds
calibrated LRs for the comparison for different set

David Lucy

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.

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