The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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  [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 |
Documentation:
Downloads:
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.
Health stats visible at Monitor.