Fidler M, Hallow M, Wilkins J, Wang W (2022). RxODE: Facilities for Simulating from ODE-Based Models. R package version 2.0.7, https://CRAN.R-project.org/package=RxODE.

Wang W, Hallow K, James D (2015). “A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R.” CPT: Pharmacometrics \& Systems Pharmacology, 5(1), 3–10. ISSN 2163-8306, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728294/.

Corresponding BibTeX entries:

  @Manual{,
    title = {{RxODE}: Facilities for Simulating from ODE-Based Models},
    author = {Matthew L.  Fidler and Melissa Hallow and Justin Wilkins
      and Wenping Wang},
    year = {2022},
    note = {R package version 2.0.7},
    url = {https://CRAN.R-project.org/package=RxODE},
  }

  @Article{,
    title = {A Tutorial on RxODE: Simulating Differential Equation
      Pharmacometric Models in R},
    author = {Wenping Wang and K Melissa Hallow and David A James},
    journal = {CPT: Pharmacometrics \& Systems Pharmacology},
    year = {2015},
    volume = {5},
    pages = {3--10},
    number = {1},
    month = {nov},
    abstract = {This tutorial presents the application of an R package,
      RxODE, that facilitates quick, efficient simulations of ordinary
      differential equation models completely within R. Its application
      is illustrated through simulation of design decision effects on
      an adaptive dosing regimen. The package provides an efficient,
      versatile way to specify dosing scenarios and to perform
      simulation with variability with minimal custom coding. Models
      can be directly translated to Rshiny applications to facilitate
      interactive, real-time evaluation/iteration on simulation
      scenarios.},
    address = {Hoboken},
    issn = {2163-8306},
    publisher = {John Wiley and Sons Inc.},
    url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728294/},
  }