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

Computes appropriate confidence intervals for the likelihood ratio tests commonly used in medicine/epidemiology, using the method of Marill et al. (2015) <doi:10.1177/0962280215592907>. 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'.

Version: 1.0.2
Imports: boot, stats, binom
Suggests: testthat
Published: 2019-02-01
Author: Keith A. Marill and Ari B. Friedman
Maintainer: Ari B. Friedman <abfriedman at gmail.com>
License: LGPL-2.1
NeedsCompilation: no
Citation: bootLR citation info
Materials: NEWS
CRAN checks: bootLR results

Downloads:

Reference manual: bootLR.pdf
Package source: bootLR_1.0.2.tar.gz
Windows binaries: r-devel: bootLR_1.0.2.zip, r-devel-gcc8: bootLR_1.0.2.zip, r-release: bootLR_1.0.2.zip, r-oldrel: bootLR_1.0.2.zip
OS X binaries: r-release: bootLR_1.0.2.tgz, r-oldrel: bootLR_1.0.2.tgz
Old sources: bootLR archive

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