posologyr: Individual Dose Optimization using Population Pharmacokinetics
Personalize drug regimens using individual pharmacokinetic and pharmacokinetic-pharmacodynamic profiles. Using combining therapeutic drug monitoring (TDM) data and a population model, 'posologyr' provides accurate a posteriori estimates and allows you to compute the optimal individualized dosing regimen. The empirical Bayes estimates are computed as described in Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.
| Version: | 1.2.6 |
| Depends: | R (≥ 3.5.0) |
| Imports: | rxode2, stats, mvtnorm, data.table |
| Suggests: | lotri, knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2, magrittr, tidyr |
| Published: | 2024-08-27 |
| 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 [issues need fixing before 2024-09-17] |
Documentation:
| Reference manual: | posologyr.pdf |
| Vignettes: |
A posteriori dose selection (source, R code) A priori dose selection (source, R code) AUC-based dose selection (source, R code) Classic posologyr models (source, R code) Multiple endpoints (source, R code) Patient data (source, R code) Population models (source, R code) Route of administration (source, R code) |
Downloads:
| Package source: | posologyr_1.2.6.tar.gz |
| Windows binaries: | r-devel: posologyr_1.2.6.zip, r-release: posologyr_1.2.6.zip, r-oldrel: posologyr_1.2.6.zip |
| macOS binaries: | r-release (arm64): posologyr_1.2.6.tgz, r-oldrel (arm64): posologyr_1.2.6.tgz, r-release (x86_64): posologyr_1.2.6.tgz, r-oldrel (x86_64): posologyr_1.2.6.tgz |
| Old sources: | posologyr archive |
Linking:
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