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
Author: Liping Du ORCID iD [aut, cre], Leena Choi ORCID iD [aut], Cole Beck ORCID iD [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-prerel: BElikelihood_1.1.zip, r-release: BElikelihood_1.1.zip, r-oldrel: BElikelihood_1.1.zip
macOS binaries: r-prerel (arm64): BElikelihood_1.1.tgz, r-release (arm64): BElikelihood_1.1.tgz, r-oldrel (arm64): BElikelihood_1.1.tgz, r-prerel (x86_64): BElikelihood_1.1.tgz, r-release (x86_64): BElikelihood_1.1.tgz

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