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'.
- Version1.0.2
- R versionunknown
- LicenseLGPL-2.1
- Needs compilation?No
- bootLR citation info
- Last release02/01/2019
Documentation
Team
Ari B. Friedman
Keith A. Marill
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- Imports2 packages
- Suggests1 package