The goal of this toolbox is to provide design of experiments techniques, along
with functions for model building.
Features
Designs
* scidoe_bbdesign - Box-Benhken design of experiments
* scidoe_ccdesign - A Central Composite Design of Experiments
* scidoe_ff2n - Full factorial design with 2 levels
* scidoe_fracfact - Fractional Factorial Design
* scidoe_fullfact - Full factorial design
* scidoe_lhsdesign - Latin Hypercube Sampling
* scidoe_star - Produces a star point design of experiments
Models
* scidoe_ryates - Reverse Yates algorithm to give estimated responses
* scidoe_yates - Calculates main and interaction effects using Yate's
algorithm.
Support
* scidoe_compare - The default comparison function used in the sort-merge.
* scidoe_pdist - Pairwise point distances of a matrix
* scidoe_plotcube - Plots a d dimensions cube in [-1,1].
* scidoe_plotlhs - Plot a LHS design
* scidoe_sort - A flexible sorting function.
* scidoe_sortdesign - Sort the experiments of a design of experiments
* scidoe_squareform - Format distance matrix
* scidoe_string - Sort the experiments of a design of experiments