title: PKreport: report generation for checking population pharmacokinetic model assumptions.
abstract: BACKGROUND
  Graphics play an important and unique role in population pharmacokinetic (PopPK) model building by exploring hidden structure among data before modeling, evaluating model fit, and validating results after modeling.
  
  
  RESULTS
  The work described in this paper is about a new R package called PKreport, which is able to generate a collection of plots and statistics for testing model assumptions, visualizing data and diagnosing models. The metric system is utilized as the currency for communicating between data sets and the package to generate special-purpose plots. It provides ways to match output from diverse software such as NONMEM, Monolix, R nlme package, etc. The package is implemented with S4 class hierarchy, and offers an efficient way to access the output from NONMEM 7. The final reports take advantage of the web browser as user interface to manage and visualize plots.
  
  
  CONCLUSIONS
  PKreport provides 1) a flexible and efficient R class to store and retrieve NONMEM 7 output, 2) automate plots for users to visualize data and models, 3) automatically generated R scripts that are used to create the plots; 4) an archive-oriented management tool for users to store, retrieve and modify figures, 5) high-quality graphs based on the R packages, lattice and ggplot2. The general architecture, running environment and statistical methods can be readily extended with R class hierarchy. PKreport is free to download at http://cran.r-project.org/web/packages/PKreport/index.html.
authors.affiliation: Bioinformatics and Computation Biology Program, Department of Statistics, Iowa State University, Ames, Iowa 50011, USA. johnsunx1@gmail.com
authors.forename: Xiaoyong
authors.initials: X
authors.lastname: Sun
authors.forename: Jun
authors.initials: J
authors.lastname: Li
mesh_terms: D003710:Demography; D006801:Humans; D008954:Models, Biological; D010599:Pharmacokinetics; D012984:Software