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.
- Version1.1
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release03/05/2024
Documentation
Team
Liping Du
Leena Choi
Show author detailsRolesAuthorCole Beck
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 210 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 2,421 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 21, 2025 with 26 downloads.
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Dependencies
- Imports2 packages
- Suggests3 packages