Constructs D-optimal or near D-optimal nested and crossed
block designs for unstructured or general factorial treatment designs.
Where a structured treatment design is required, a D-optimal or near
D-optimal treatment design is found based on a suitable model
matrix design formula. The required block design is then found for the
required treatment design based on a defined set of block factors.
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 a
crossed blocks design 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.

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 defined model
matrix design formula. 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 a
crossed blocks design 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.

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 defined model
design formula. 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 a
crossed blocks design 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.