R: Bootstrapped Confidence Intervals for (Negative) Likelihood Ratio Tests

# Bootstrapped Confidence Intervals for (Negative) Likelihood Ratio Tests

## Documentation for package ‘bootLR’ version 1.0.2

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

## Help Pages

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.