Statistical Design Models (SDM)
Statistical Design Models (SDM) updates strengthen accuracy and consistency by improving design validation, aligning database rules across key trial designs, and ensuring reliable experiment generation—supporting smoother setup and more dependable trial outcomes.
✅ Stronger Design Validation
Clear warnings for invalid block sizes and missing checks/tests.
Invalid fieldrow options removed from PRep designs.
✅ Updated BA Database Rules
Design input rules for PRep, AugRCBD, RCBD, and Alpha Lattice are now accurate, documented, and consistent.
✅ Reliable Non-Sparse Experiment Generation
Non-sparse experiments now generate correctly across all designs.
Upload and setup workflows restored and verified.
⚠️ Note: Some limitations may be account-specific and are still under review.