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

Computes appropriate confidence intervals for the likelihood ratio tests commonly used in medicine/epidemiology. It is particularly useful when the sensitivity or specificity in the sample is 100%. Note that this does not perform the test on nested models–for that, see 'epicalc::lrtest'.