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PyDOE

PyDOE PyDOE

An Experimental Design Package for Python

The PyDOE package is designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.

Quick Start

All available designs can be accessed after a simple import statement:

>>> from pydoe import *

Overview

The package provides extensive support for design-of-experiments (DOE) methods and is capable of creating designs for any number of factors.

It provides:

  • Factorial Designs
  • General Full-Factorial (fullfact)
  • 2-level Full-Factorial (ff2n)
  • 2-level Fractional Factorial (fracfact, fracfact_aliasing, fracfact_by_res, fracfact_opt, alias_vector_indices)
  • Plackett-Burman (pbdesign)
  • Generalized Subset Designs (gsd)

  • Fold-over Designs (fold)

  • Response-Surface Designs

  • Box-Behnken (bbdesign)
  • Central-Composite (ccdesign)
  • Doehlert Design (doehlert_shell_design, doehlert_simplex_design)
  • Star Designs (star)
  • Union Designs (union)

  • Repeated Center Points (repeat_center)

  • Space-Filling Designs

  • Latin-Hypercube (lhs)

  • Random Uniform (random_uniform)

  • Low-Discrepancy Sequences

  • Sukharev Grid (sukharev_grid)
  • Sobol’ Sequence (sobol_sequence)
  • Halton Sequence (halton_sequence)
  • Rank-1 Lattice Design (rank1_lattice)
  • Korobov Sequence (korobov_sequence)

  • Cranley-Patterson Randomization (cranley_patterson_shift)

  • Clustering Designs

  • Random K-Means (random_k_means)

  • Sensitivity Analysis Designs

  • Morris Method (morris_sampling)

  • Saltelli Sampling (saltelli_sampling)

  • Taguchi Designs

  • Orthogonal arrays and robust design utilities (taguchi_design, compute_snr, get_orthogonal_array, list_orthogonal_arrays, TaguchiObjective)

  • Optimal Designs

  • Advanced optimal design algorithms (optimal_design)
  • Optimality criteria (a_optimality, c_optimality, d_optimality, e_optimality, g_optimality, i_optimality, s_optimality, t_optimality, v_optimality)
  • Efficiency measures (a_efficiency, d_efficiency)
  • Search algorithms (sequential_dykstra, simple_exchange_wynn_mitchell, fedorov, modified_fedorov, detmax)

  • Design utilities (criterion_value, information_matrix, build_design_matrix, build_uniform_moment_matrix, generate_candidate_set)

  • Sparse Grid Designs

  • Sparse Grid Design (doe_sparse_grid)
  • Sparse Grid Dimension (sparse_grid_dimension)