FactChar: Characterization and Diagnostic Tools for Factorial Block
Designs
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)
<doi:10.1214/aos/1013699993>, and Gupta (1983)
<doi:10.1111/j.2517-6161.1983.tb01253.x>. These methods assist in selecting,
comparing, and studying factorial block designs across a range of
experimental situations.
| Version: |
1.0 |
| Imports: |
MASS, Matrix |
| Published: |
2025-12-12 |
| DOI: |
10.32614/CRAN.package.FactChar (may not be active yet) |
| Author: |
Sukanta Dash [aut, cre],
Vankudoth Kumar [aut],
Sunil Kumar Yadav [aut],
Anil Kumar [aut],
Med Ram Verma [aut] |
| Maintainer: |
Sukanta Dash <sukanta.iasri at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
FactChar results |
Documentation:
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