Package: microsamplingDesign
Title: Finding Optimal Microsampling Designs for Non-Compartmental
        Pharmacokinetic Analysis
Version: 1.0.6
License: GPL-3
Authors@R: c( person("Adriaan", "Blommaert", role = c("aut", "cre"),
                     email = "adriaan.blommaert@openanalytics.eu"),
              person("Daan", "Seynaeve", role = "ctb" ),
              person("Helen", "Barnett", role = "ctb" ),
              person("Helena", "Geys", role = "ctb" ),
              person("Tom", "Jacobs", role = "ctb" ),
              person("Fetene", "Tekle", role = "ctb" ),
              person("Thomas", "Jaki", role = "ctb" ) )
Maintainer: Adriaan Blommaert <adriaan.blommaert@openanalytics.eu>
Description: 
  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 (currently unpublished)"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.   
URL: http://www.openanalytics.eu
Depends: R (>= 3.4.0), Rcpp
Imports: abind, deSolve, devtools, ggplot2, gridExtra, gtools, knitr,
        MASS, matrixStats, matrixcalc, methods, parallel, plyr, readr,
        reshape2, shiny, stats, stringr, utils
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: true
LazyLoad: yes
RoxygenNote: 6.1.0
Suggests: bookdown, data.table, plotly, shinyjs, shinyBS, rmarkdown,
        rhandsontable, shinycssloaders, testthat
Collate: 'RcppExports.R' 'aaaGenerics.R' 'appFunctions.R'
        'constraintFunctions.R' 'fastRankSchemes.R' 'internalHelpers.R'
        'objectPkModelParent.R' 'objectSetOfSchemes.R'
        'objectPkModel.R' 'objectPkModelRange.R'
        'objectSetOfTimePoints.R' 'pkFunctions.R' 'schemeStatistics.R'
        'rankScheme.R' 'rankTimePoints.R' 'schemeGenerator.R'
        'timePointGeneration.R'
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-03-20 14:51:53 UTC; ablommaert
Author: Adriaan Blommaert [aut, cre],
  Daan Seynaeve [ctb],
  Helen Barnett [ctb],
  Helena Geys [ctb],
  Tom Jacobs [ctb],
  Fetene Tekle [ctb],
  Thomas Jaki [ctb]
Repository: CRAN
Date/Publication: 2019-03-20 15:50:03 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 21:43:51 UTC; windows
Archs: i386, x64
