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]

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NEWS

Peer review:

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

On CRAN:

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

10 exports 12 stars 2.28 score 65 dependencies 12 scripts 401 downloads

Last updated 5 days agofrom:3ab1cfabe5. Checks:OK: 7. Indexed: yes.

Exports:poso_dose_aucposo_dose_concposo_estim_mapposo_estim_mcmcposo_estim_sirposo_inter_cminposo_replace_etposo_simu_popposo_time_cminposologyr_error_lines

Dependencies:backportsBHcachemcheckmateclicolorspacecrayondata.tabledigestdparserevaluatefansifarverfastmapggplot2gluegtablehighrinlineisobandknitrlabelinglatticelazyevallifecyclelotrimagrittrMASSMatrixmemoisemgcvmunsellmvtnormnlmepillarpkgconfigPreciseSumsqsR6RApiSerializeRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrexrlangrxode2rxode2etrxode2llrxode2parserxode2randomscalessitmoStanHeadersstringfishsymenginesystibbleutf8vctrsviridisLitewithrxfunyaml