taalbrecht/MultiEqOptimizer: Optimal Design for Multiple Linear and Discrete Choice Models
Version 0.1

MultiEqOptimizer is a package that contains functions used to create single experimental designs jointly optimized for multiple candidate models. Contains functions for linear regression and discrete choice logistic models.

Getting started

Package details

AuthorThomas Albrecht
MaintainerWho to complain to <[email protected]>
LicenseWhat license is it under?
Version0.1
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("taalbrecht/MultiEqOptimizer")
taalbrecht/MultiEqOptimizer documentation built on Aug. 26, 2017, 10:49 a.m.