Nested and Crossed Block Designs for Factorial, Fractional Factorial and Unstructured Treatment Sets

Constructs D-optimal or near D-optimal nested and crossed block designs for unstructured or general factorial treatment designs. The treatment design, if required, is found from a model matrix design formula and can be added sequentially, if required. The block design is found from a defined set of block factors and is conditional on the defined treatment design. The block factors are added in sequence and each added block factor is optimized conditional on all previously added block factors. The block design can have repeated nesting down to any required depth of nesting with either simple nested blocks or crossed blocks at each level of nesting. Outputs include a table showing the allocation of treatments to blocks and tables showing the achieved D-efficiency factors for each block and treatment design.


Reference manual

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3.9 by Rodney Edmondson, a month ago

Browse source code at

Authors: R. N. Edmondson.

Documentation:   PDF Manual  

Task views: Design of Experiments (DoE) & Analysis of Experimental Data

GPL (>= 2) license

Imports lme4, plyr, PolynomF

Suggests knitr, rmarkdown, R.rsp

Imported by SpatialFloor.

See at CRAN