andrewhooker / PopED

Population Experimental Design (PopED) in R
https://andrewhooker.github.io/PopED/
GNU Lesser General Public License v3.0
33 stars 21 forks source link
cran nlme optimal-design pharmacodynamics pharmacokinetics pharmacometrics pkpd population population-model r

PopED

CRAN_Status_Badge R-CMD-check Codecov test
coverage

PopED computes optimal experimental designs for both population and individual studies based on nonlinear mixed-effect models. Often this is based on a computation of the Fisher Information Matrix (FIM).

Installation

You need to have R installed. Download the latest version of R from www.r-project.org. You can install the released version of PopED from CRAN with:

install.packages("PopED")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("andrewhooker/PopED")

Getting started

To get started you need to define

  1. A model.
  2. An initial design (and design space if you want to optimize).
  3. The tasks to perform.

Learn more in this introduction to PopED

Contact

You are welcome to: