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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 |
Author: | Cyril Leven [aut, cre, cph], Matthew nfidler [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 |
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.
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