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  "Title": "Nested and Crossed Block Designs for Factorial and Unstructured\nTreatment Sets",
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  "Description": "Constructs treatment and block designs for linear\ntreatment models with crossed or nested block factors. The\ntreatment design can be any feasible linear model and the block\ndesign can be any feasible combination of crossed or nested\nblock factors. The block design is a sum of one or more block\nfactors and the block design is optimized sequentially with the\nlevels of each successive block factor optimized conditional on\nall previously optimized block factors. D-optimality is used\nthroughout except for square or rectangular lattice block\ndesigns which are constructed algebraically using mutually\northogonal Latin squares. Crossed block designs with\ninteraction effects are optimized using a weighting scheme\nwhich allows for differential weighting of first and\nsecond-order block effects. Outputs include a table showing the\nallocation of treatments to blocks and tables showing the\nachieved D-efficiency factors for each block and treatment\ndesign. Edmondson, R.N. Multi-level Block Designs for\nComparative Experiments. JABES 25, 500–522 (2020)\n<doi:10.1007/s13253-020-00416-0>.",
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