posologyr: Individual Dose Optimization using Population Pharmacokinetics (original) (raw)
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 |
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