The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

posologyr: Individual Dose Optimization using Population Pharmacokinetics

Optimize drug regimens through model-informed precision dosing, using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By integrating therapeutic drug monitoring (TDM) data with population models, 'posologyr' provides accurate posterior estimates and enables the calculation of personalized 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: 1.2.7
Depends: R (≥ 3.5.0)
Imports: rxode2, stats, mvtnorm, data.table
Suggests: lotri, rmarkdown, testthat (≥ 3.0.0), ggplot2, magrittr, tidyr
Published: 2024-09-13
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_1.2.7.tar.gz
Windows binaries: r-devel: posologyr_1.2.7.zip, r-release: posologyr_1.2.7.zip, r-oldrel: posologyr_1.2.7.zip
macOS binaries: r-release (arm64): posologyr_1.2.7.tgz, r-oldrel (arm64): posologyr_1.2.7.tgz, r-release (x86_64): posologyr_1.2.7.tgz, r-oldrel (x86_64): posologyr_1.2.7.tgz
Old sources: posologyr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=posologyr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.