microsamplingDesign (1.0.6)

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Finding Optimal Microsampling Designs for Non-Compartmental Pharmacokinetic Analysis.


Find optimal microsampling designs for non-compartmental pharacokinetic analysis using a general simulation methodology: Algorithm III of Barnett, Helen, Helena Geys, Tom Jacobs, and Thomas Jaki. (2017) "Optimal Designs for Non-Compartmental Analysis of Pharmacokinetic Studies. (currently unpublished)" This methodology consist of (1) specifying a pharmacokinetic model including variability among animals; (2) generating possible sampling times; (3) evaluating performance of each time point choice on simulated data; (4) generating possible schemes given a time point choice and additional constraints and finally (5) evaluating scheme performance on simulated data. The default settings differ from the article of Barnett and others, in the default pharmacokinetic model used and the parameterization of variability among animals. Details can be found in the package vignette. A 'shiny' web application is included, which guides users from model parametrization to optimal microsampling scheme.

Maintainer: Adriaan Blommaert
Author(s): Adriaan Blommaert [aut, cre], Daan Seynaeve [ctb], Helen Barnett [ctb], Helena Geys [ctb], Tom Jacobs [ctb], Fetene Tekle [ctb], Thomas Jaki [ctb]

License: GPL-3

Uses: abind, deSolve, devtools, ggplot2, gridExtra, gtools, knitr, MASS, matrixcalc, matrixStats, plyr, Rcpp, readr, reshape2, shiny, stringr, data.table, testthat, shinyBS, rmarkdown, shinyjs, rhandsontable, plotly, bookdown, shinycssloaders

Released 8 months ago.

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