posologyr: Individual Dose Optimization using Population Pharmacokinetics

Determine individual pharmacokinetic (and pharmacokinetic-pharmacodynamic) profiles and use them to personalise drug regimens. You provide the data and a population pharmacokinetic model, 'posologyr' provides the individual a posteriori estimate and allows you to determine the optimal dosing. The empirical Bayes estimates are computed as described in Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.

Version: 1.2.4
Depends: R (≥ 3.5.0)
Imports: rxode2, stats, mvtnorm, data.table
Suggests: lotri, knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2, magrittr, tidyr
Published: 2024-02-09
DOI: 10.32614/CRAN.package.posologyr
Author: Cyril Leven ORCID iD [aut, cre, cph], Matthew nfidler 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


Reference manual: posologyr.pdf
Vignettes: A posteriori dose selection
A priori dose selection
AUC-based dose selection
Multiple endpoints
Patient data input
User defined models


Package source: posologyr_1.2.4.tar.gz
Windows binaries: r-devel: posologyr_1.2.4.zip, r-release: posologyr_1.2.4.zip, r-oldrel: posologyr_1.2.4.zip
macOS binaries: r-release (arm64): posologyr_1.2.4.tgz, r-oldrel (arm64): posologyr_1.2.4.tgz, r-release (x86_64): posologyr_1.2.4.tgz, r-oldrel (x86_64): posologyr_1.2.4.tgz
Old sources: posologyr archive


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