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BElikelihood (version 1.1)

Likelihood Method for Evaluating Bioequivalence

Description

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) .

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Version

Install

install.packages('BElikelihood')

Monthly Downloads

201

Version

1.1

License

GPL (>= 3)

Maintainer

Liping Du

Last Published

March 5th, 2024

Functions in BElikelihood (1.1)

print.proLikelihood

Print method for proLikelihood object
dat

Data example for bioequivalence (BE) study
BElikelihood-package

Likelihood method for analyzing bioequivalence (BE) trial data
plot.proLikelihood

Plot method for proLikelihood object
proLikelihood

Calculate profile likelihood for bioequivalence data
beInternal

Internal functions