posologyr: Individual Dose Optimization using Population Pharmacokinetics

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 ORCID iD [aut, cre, cph], Matthew Fidler ORCID iD [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:

Reference manual: posologyr.pdf

Downloads:

Package source: posologyr_1.2.8.tar.gz
Windows binaries: r-devel: posologyr_1.2.8.zip, r-release: posologyr_1.2.8.zip, r-oldrel: posologyr_1.2.8.zip
macOS binaries: r-devel (arm64): posologyr_1.2.8.tgz, r-release (arm64): posologyr_1.2.8.tgz, r-oldrel (arm64): posologyr_1.2.8.tgz, r-devel (x86_64): posologyr_1.2.8.tgz, r-release (x86_64): posologyr_1.2.8.tgz, r-oldrel (x86_64): posologyr_1.2.8.tgz
Old sources: posologyr archive

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