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inteli

library(inteli)

Description

Parameter estimation via likelihood interval (LI) compared to traditional method (CI). This is the expanded version for ‘LBI’- and ‘wnl’-package, formulated by Kyun-Seop Bae .

Details

Currently available for estimating a single-group variance and a two-group variance ratio.

Author(s)

Minkyu Kim

References

  1. Wilks SS. The Large-sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses. Ann Math Stat. 1938;9(1):60-62.

  2. Ruppert D, Cressie N, Carroll RJ. A Transformation/Weighting Model for Estimating Michaelis-Menten Parameters. Cornell University Technical Report 796. 1988.

  3. Pawitan Y. In All Likelihood: Statistical Modelling and Inference Using Likelihood. 2001.

  4. Lee MH, Bae KS. Likelihood interval for nonlinear regression. Transl Clin Pharmacol. 2023.

Examples

x <- rnorm(20, 0, 1) y <- rnorm(40, 0, 1)

varE(x) varEplot(x, FALSE) varEplot(x, TRUE)

varR(x, y) varRplot(x, y, FALSE) varRplot(x, y, TRUE)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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