Characterization and Diagnostic Tools for Factorial Block
Designs
Description
Description: Provides comprehensive tools for analysing and characterizing
mixed-level factorial designs arranged in blocks. Includes construction
and validation of incidence structures, computation of C-matrices,
evaluation of A-, D-, E-, and MV-efficiencies, checking of orthogonal
factorial structure (OFS), diagnostics based on Hamming distance,
discrepancy measures, B-criterion, Es^2 statistics, J2-distance and
J2-efficiency, Phi-p optimality, and symmetry conditions for universal
optimality. The methodological framework follows foundational work on
factorial and mixed-level design assessment by Xu and Wu (2001)
, and Gupta (1983)
. These methods assist in selecting,
comparing, and studying factorial block designs across a range of
experimental situations.