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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | FactChar_1.0.tar.gz |
12.8 KiB |
1.0 |
latest source/ R- | FactChar_1.0.tar.gz |
12.8 KiB |
1.0 |
2026-04-23 source/ R- | FactChar_1.0.tar.gz |
12.8 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | FactChar_1.0.zip |
68.9 KiB |