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

Implementation of Bayesian experimental design using regularized determinantal point processes

MATLAB implementations of Bayesian input signal design algorithms from the paper “An Approximate Bayesian Approach to Optimal Input Signal Design for System Identification”.