A model library for 'nlmixr2'.  The models include
  (and plan to include) pharmacokinetic, pharmacodynamic, and
  disease models used in pharmacometrics.  Where applicable,
  references for each model are included in the meta-data for
  each individual model.  The package also includes model
  composition and modification functions to make model updates
  easier.

Fit and compare nonlinear mixed-effects models in
    differential equations with flexible dosing information commonly seen
    in pharmacokinetics and pharmacodynamics (Almquist, Leander, and
    Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation
    solving is by compiled C code provided in the 'rxode2' package (Wang,
    Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for
    'ggplot2' plotting methods for 'nlmixr2' objects.

This allows you to generate reporting workflows around 'nlmixr2' analyses with outputs in Word and PowerPoint. You can specify figures, tables and report structure in a user-definable 'YAML' file. Also you can use the internal functions to access the figures and tables to allow their including in other outputs (e.g. R Markdown).

Provides tools to save 'nlmixr2' fitted models in a portable format
    readable outside of 'nlmixr2' and independent of the package version.
    'nlmixr2' fits and compares nonlinear mixed-effects models in differential
    equations with flexible dosing information commonly seen in pharmacokinetics
    and pharmacodynamics (Almquist, Leander, and Jirstrand 2015
    <doi:10.1007/s10928-015-9409-1>). Differential equation solving uses compiled
    C code from the 'rxode2' package (Wang, Hallow, and James 2015
    <doi:10.1002/psp4.12052>).

'nlmixr2' often has long runtimes.  A pipeline toolkit
    tailored to 'nlmixr2' workflows leverages 'targets' and 'nlmixr2' to
    ease reproducible workflows.  'nlmixr2targets' ensures minimal rework
    in model development with 'nlmixr2' and 'targets' by simplifying and
    standardizing models and datasets.