Package: posologyr 1.2.7

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>.

Authors:Cyril Leven [aut, cre, cph], Matthew Fidler [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb]

posologyr_1.2.7.tar.gz
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posologyr.pdf |posologyr.html✨
posologyr/json (API)
NEWS

# Install 'posologyr' in R:
install.packages('posologyr', repos = c('https://levenc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/levenc/posologyr/issues

On CRAN:

bayesianmodel-informed-precision-dosingpharmacokineticsprecision-medicinetherapeutic-drug-monitoring

4.89 score 12 stars 7 scripts 281 downloads 10 exports 58 dependencies

Last updated 15 days agofrom:f47571438c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:poso_dose_aucposo_dose_concposo_estim_mapposo_estim_mcmcposo_estim_sirposo_inter_cminposo_replace_etposo_simu_popposo_time_cminposologyr_error_lines

Dependencies:backportsBHcachemcheckmateclicolorspacecpp11cpp11armadillocrayondata.tabledigestdparserfansifarverfastmapggplot2gluegtableinlineisobandlabelinglatticelazyevallifecyclelotrimagrittrMASSMatrixmemoisemgcvmunsellmvtnormnlmepillarpkgconfigPreciseSumsqsR6RApiSerializeRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrexrlangrxode2rxode2llscalessitmoStanHeadersstringfishsystibbleutf8vctrsviridisLitewithr