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BElikelihood  

Likelihood Method for Evaluating Bioequivalence
View on CRAN: Click here


Download and install BElikelihood package within the R console
Install from CRAN:
install.packages("BElikelihood")

Install from Github:
library("remotes")
install_github("cran/BElikelihood")

Install by package version:
library("remotes")
install_version("BElikelihood", "1.1")



Attach the package and use:
library("BElikelihood")
Maintained by
Liping Du
[Scholar Profile | Author Map]
First Published: 2024-03-05
Latest Update: 2024-03-05
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) .
How to cite:
Liping Du (2024). BElikelihood: Likelihood Method for Evaluating Bioequivalence. R package version 1.1, https://cran.r-project.org/web/packages/BElikelihood. Accessed 11 Jan. 2025.
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