Personalize drug regimens using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic drug monitoring (TDM) data with a population model, 'posologyr' offers accurate posterior estimates and helps compute optimal individualized dosing regimens. The empirical Bayes estimates are computed following the method described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.
Version: 1.2.8 Depends: R (≥ 3.5.0) Imports: rxode2, stats, mvtnorm, data.table Suggests: lotri, rmarkdown, testthat (≥ 3.0.0), ggplot2, magrittr, tidyr Published: 2025-02-04 DOI: 10.32614/CRAN.package.posologyr Author: Cyril Leven [aut, cre, cph], Matthew Fidler [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb] Maintainer: Cyril Leven <cyril.leven at chu-brest.fr> BugReports: https://github.com/levenc/posologyr/issues License: AGPL-3 URL: https://levenc.github.io/posologyr/, https://github.com/levenc/posologyr NeedsCompilation: no Citation: posologyr citation info Materials: README, NEWS In views: Pharmacokinetics CRAN checks: posologyr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=posologyr to link to this page.
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