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

Documentation:

Reference manual:

bootLR.pdf

Downloads:

Package source:	bootLR_1.0.2.tar.gz
Windows binaries:	r-devel: bootLR_1.0.2.zip, r-release: bootLR_1.0.2.zip, r-oldrel: bootLR_1.0.2.zip
macOS binaries:	r-release (arm64): bootLR_1.0.2.tgz, r-oldrel (arm64): bootLR_1.0.2.tgz, r-release (x86_64): bootLR_1.0.2.tgz, r-oldrel (x86_64): bootLR_1.0.2.tgz
Old sources:	bootLR archive

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