FactChar: Characterization and Diagnostic Tools for Factorial BlockDesigns
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 |
| 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 |
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