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

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. This package was developed for pharmacometric problems, and examples and predefined models are available for these types of systems. The methods are described in Nyberg et al. (2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004) <doi:10.1016/S0169-2607(03)00073-7>.

Getting started

Package details

Maintainer
LicenseLGPL (>= 3)
Version0.4.0.9000
URL https://github.com/andrewhooker/PopED https://andrewhooker.github.io/PopED http://poped.sourceforge.net
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("andrewhooker/PopED")
andrewhooker/PopED documentation built on Nov. 17, 2018, 3:36 a.m.