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RDarwin 1.1.0 - September, 2024

What’s New

  • PML Code Integration: Users can now define custom PK/PD/PKPD models using PML (Pharmacometric Modeling Language) code. This flexibility allows for modeling complex and unique pharmacodynamic relationships.

  • The new create_ModelPD() function supports the generation of Pharmacodynamic (PD) model sets using specific options such as Baseline, Fractional, Inhibitory, and Sigmoid for customizable Emax models.

RDarwin 1.0.0 - November, 2023

What’s New

  • RDarwin defines a structure for NLME pyDarwin usage. The function get_PMLParametersSets() provides the PML (Pharmacometric Modelling Language) parameter sets based on the specified options across observation, dosepoints, structural parameters, thetas, and omegas. The user can specify different properties of the models to be searched as arguments in get_PMLParametersSets().

  • R functions have been made available inside RDarwin to setup the NLME search and create required files for a pyDarwin automated search, including execution of a pyDarwin search from R. See create_pyDarwinOptions(), write_pyDarwinOptions(), and run_pyDarwin().

  • Support for table statements from RsNLME.

  • Support for multiple sequential executions.

  • Support for BQL option in observation statements.

  • Support for Certara.RsNLME::engineParams() options via the function specify_EngineParams().

  • Additional options for structural parameters and sigmas made available via the ellipsis ....