Package: posologyr 1.2.8

posologyr: Individual Dose Optimization using Population Pharmacokinetics

Personalize drug regimens using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic drug monitoring (TDM) data with a population model, 'posologyr' offers accurate posterior estimates and helps compute optimal individualized 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_1.2.8.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'))

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

Pkgdown site:https://levenc.github.io

On CRAN:

Conda:

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

4.68 score 12 stars 9 scripts 427 downloads 10 exports 58 dependencies

Last updated 21 days agofrom:92a6dc73f3. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

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