In andrewhooker/PopED: Population (and Individual) Optimal Experimental Design

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PopED

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:

• Ask questions at: https://github.com/andrewhooker/PopED/discussions
• submit suggestions and bug-reports at: https://github.com/andrewhooker/PopED/issues
• send a pull request on: https://github.com/andrewhooker/PopED
• compose a friendly e-mail to: [e-mail]

andrewhooker/PopED documentation built on Oct. 10, 2024, 12:08 a.m.