BayesianLR.test |
Compute the (positive/negative) likelihood ratio with appropriate, bootstrapped confidence intervals |

bca |
Internal function to analyze LR bootstrap finding median, and standard and BCa percentile 95 To obtain bca CI on a non-boot result, use a dummy boot. and replace t and t0 with the results of interest. |

confusionStatistics |
Compute sensitivity, specificity, positive likelihood ratio, negative likelihood ratio for a single 2x2 table |

diagCI |
Compute values and confidence intervals for sensitivity, specificity, positive likelihood ratio, negative likelihood ratio for a single 2x2 table |

drawMaxedOut |
Internal function to draw a set of sensitivities or specificities This is intended for the case where testPos == totalDzPos or testNeg == totalDzNeg. |

medianConsistentlyOne |
Find the lowest population probability whose median is consistently one This is the lowest estimate for Sens that is consistently (over 5 runs) most likely to yield a sample estimate that is all 1's (e.g. 100/100, etc.). |

print.diagCI |
Prints results from diagCI As is typical for R, this is run automatically when you type in an object name, and is typically not run directly by the end-user. |

print.lrtest |
Prints results from the BayesianLR.test As is typical for R, this is run automatically when you type in an object name, and is typically not run directly by the end-user. |

run.BayesianLR.test |
The actual function that runs the test. BayesianLR.test is a wrapper that runs this with ever-looser tolerances. |

sequentialGridSearch |
Optimize a function returning a single numeric value subject to a boolean constraint Utilizes a naive recursive grid search. |