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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>.
Package details |
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Author | Cyril Leven [aut, cre, cph] (<https://orcid.org/0000-0002-0697-4370>), Matthew Fidler [ctb] (<https://orcid.org/0000-0001-8538-6691>), Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb] |
Maintainer | Cyril Leven <cyril.leven@chu-brest.fr> |
License | AGPL-3 |
Version | 1.2.8 |
URL | https://levenc.github.io/posologyr/ https://github.com/levenc/posologyr |
Package repository | View on CRAN |
Installation |
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