esqLABS / esqlabsR

Utility functions for modelling and simulation workflows within esqLABS organization
https://esqlabs.github.io/esqlabsR/
GNU General Public License v2.0
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pbpk pbpk-modeling r simulation

esqlabsR esqlabsR website

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The {esqlabsR} package facilitates and standardizes the modeling and simulation of physiologically based kinetic (PBK) and quantitative systems pharmacology/toxicology (QSP/T) models implemented in the Open Systems Pharmacology Software (OSPS).

The {esqlabsR} package is designed for PBK modelers who use the OSPS suite. By using this package, you can streamline your modeling and simulation (M&S) workflow and ensure standardized and reproducible practices.

The package provides functions to:

To get started with the esqlabsR package, please read the vignette("esqlabsR").

Installation

Pre-requisites

Install the package

You can install the package by running:

install.packages("pak")
pak::pak("esqLABS/esqlabsR@*release")

Get the latest development version with:

pak::pak("esqLABS/esqlabsR")

Note: For projects created for version 3 of esqlabsR package, install esqlabsRLegacy.

Usage

You can start with the “Get Started” vignette: vignette("esqlabsR"). Below is a simple example of how to work with the package:

# load esqlabsR
library(esqlabsR)

# Load excel-based configuration
my_project_configuration <-
  createDefaultProjectConfiguration(example_ProjectConfiguration())

# Setup simulation scenarios
my_scenarios <-
  createScenarios(
    readScenarioConfigurationFromExcel( # Read scenarios from excel file
      scenarioNames = "TestScenario", # Import the scenario defined as "TestScenario"
      # in the excel file
      projectConfiguration = my_project_configuration
    )
  )

# Run simulations
my_simulation <- runScenarios(
  scenarios = my_scenarios
)

# Initialize a `DataCombined` object to store simulation results
my_datacombined <- DataCombined$new()

my_datacombined$addSimulationResults(my_simulation$TestScenario$results,
  names = "Simulated",
  groups = "Aciclovir"
)

# Plot simulation results
plotIndividualTimeProfile(my_datacombined)

Learn More

You can find more information on specific topics in dedicated vignettes:

Related Work

{esqlabsR} relies on the following Open Systems Pharmacology R packages:

Contributing

Code of Conduct

Please note that the esqlabsR project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.