Package: BElikelihood 1.1

Liping Du

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>.

Authors:Liping Du [aut, cre], Leena Choi [aut], Cole Beck [aut]

BElikelihood_1.1.tar.gz
BElikelihood_1.1.tar.gz(r-4.5-noble)BElikelihood_1.1.tar.gz(r-4.4-noble)
BElikelihood_1.1.tgz(r-4.4-emscripten)BElikelihood_1.1.tgz(r-4.3-emscripten)
BElikelihood.pdf |BElikelihood.html✨
BElikelihood/json (API)

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Last updated 7 months agofrom:83134c519e. Checks:OK: 1 WARNING: 1. Indexed: yes.

Exports:averageBEproLikelihoodtotalVarianceBEwithinVarianceBE

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr