Interface for 'pyDarwin' Machine Learning Pharmacometric Model Development

Utilities that support the usage of 'pyDarwin' (< https://certara.github.io/pyDarwin/>) for ease of setup and execution of a machine learning based pharmacometric model search with Certara's Non-Linear Mixed Effects (NLME) modeling engine.

RDarwin

Overview

RDarwin is an R package designed to facilitate the usage of pyDarwin with the Certara NLME pharmacometric modeling engine from the R command line. The Python package, pyDarwin, is a powerful tool for using machine learning algorithms for model selection.

RDarwin defines a structure for NLME-pyDarwin usage by providing a set of R functions that can be used to specify search options across observation, dosepoints, structural parameters, fixed effects (thetas), random effects (omegas), and covariate effects. Additionally, users may execute a pyDarwin search directly from R using the function run_pyDarwin() (supports both NLME and NONMEM modeling engines).

Installation

install.packages("Certara.RDarwin", 
  repos = c("https://certara.jfrog.io/artifactory/certara-cran-release-public/", 
  "https://cloud.r-project.org"), method = "libcurl")

*Note: Additional installation of pyDarwin and Certara's NLME-Engine used by RsNLME is required. * Request NLME-Engine.