Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

R package that creates Bayesian I- and D-optimal designs for choice models involving mixtures of ingredient proportions

A MATLAB toolbox to compute optimal regression design

Code for paper "Bayesian I-optimal designs for choice experiments with mixtures" by Mario Becerra and Peter Goos.

CVXSADes: Construct exact regression designs using CVX in conjunction with simulated annealing

MATLAB code for finding optimal designs using the second-order least squares estimation

R package for computing optimal regression designs under second-order least-squares estimator