Bootstrapped Confidence Intervals for (Negative) Likelihood Ratio Tests

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Documentation for package ‘bootLR’ version 1.0.2

• DESCRIPTION file.
• Code demos. Use demo() to run them.
• Package NEWS.

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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.