Compute the certainty equivalents and premium risks
              as tools for risk-efficiency analysis. For more technical information, please refer to: Hardaker, Richardson, Lien, & Schumann (2004) <doi:10.1111/j.1467-8489.2004.00239.x>, and Richardson, & Outlaw (2008) <doi:10.2495/RISK080231>.

Utilize the 'shiny' interface for visualizing results from a 'pyDarwin' (<https://certara.github.io/pyDarwin/>)
    machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models,
    allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and
    tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an
    R Markdown document and rendered in various output formats.

Utilize the 'shiny' interface to generate Goodness of Fit (GOF) plots and tables
      for Non-Linear Mixed Effects (NLME / NONMEM) pharmacometric models. From the interface,
      users can customize model diagnostics and generate the underlying R code to reproduce the 
      diagnostic plots and tables outside of the 'shiny' session. Model diagnostics can be included
      in a 'rmarkdown' document and rendered to desired output format.

Perform Nonlinear Mixed-Effects (NLME) Modeling using Certara's
    NLME-Engine. Access the same Maximum Likelihood engines used in the Phoenix
    platform, including algorithms for parametric methods, individual, and pooled
    data analysis.
    The Quasi-Random Parametric Expectation-Maximization Method (QRPEM) is also
    supported <https://www.page-meeting.org/default.asp?abstract=2338>. Execution
    is supported both locally or on remote machines. Remote execution includes
    support for Linux Sun Grid Engine (SGE), Simple Linux Utility for Resource Management
    (SLURM) grids, Linux and Windows multicore, and individual runs.

A convenient set of wrapper functions to install
    pharmacometric packages and Shiny applications developed by Certara
    PMX and Integrated Drug Development (iDD). The functions ensure the
    successful installation of packages from non-standard repositories.