BElikelihood: Likelihood Method for Evaluating Bioequivalence

A likelihood method is implemented to present evidence for evaluating bioequivalence (BE). The functions use bioequivalence data [area under the blood concentration-time curve (AUC) and peak concentration (Cmax)] from various crossover designs commonly used in BE studies including a fully replicated, a partially replicated design, and a conventional 2x2 crossover design. They will calculate the profile likelihoods for the mean difference, total standard deviation ratio, and within subject standard deviation ratio for a test and a reference drug. A plot of a standardized profile likelihood can be generated along with the maximum likelihood estimate and likelihood intervals, which present evidence for bioequivalence. See Liping Du and Leena Choi (2015) <doi:10.1002/pst.1661>.

Version:	1.1
Depends:	R (≥ 3.5.0)
Imports:	ggplot2, mvtnorm
Suggests:	knitr, nlme, rmarkdown
Published:	2024-03-05
DOI:	10.32614/CRAN.package.BElikelihood
Author:	Liping Du [aut, cre], Leena Choi [aut], Cole Beck [aut]
Maintainer:	Liping Du <liping.du at vumc.org>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	BElikelihood results

Documentation:

Reference manual:	BElikelihood.pdf
Vignettes:	BElikelihood

Downloads:

Package source:	BElikelihood_1.1.tar.gz
Windows binaries:	r-devel: BElikelihood_1.1.zip, r-release: BElikelihood_1.1.zip, r-oldrel: BElikelihood_1.1.zip
macOS binaries:	r-release (arm64): BElikelihood_1.1.tgz, r-oldrel (arm64): BElikelihood_1.1.tgz, r-release (x86_64): BElikelihood_1.1.tgz, r-oldrel (x86_64): BElikelihood_1.1.tgz

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