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blocksdesign (version 3.6)

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

Description

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 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.

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Version

Install

install.packages('blocksdesign')

Monthly Downloads

1,059

Version

3.6

License

GPL (>= 2)

Maintainer

Rodney Edmondson

Last Published

October 8th, 2019

Functions in blocksdesign (3.6)

design

General block and treatment designs.
lattices

Mutually orthogonal latin square arrays of zize v
isPrimePower

Prime number test
isPrime

Prime number test
EstEffics

D-Efficiency factors
MOLS

Prime power MOLS from finite fields
A_bound

Efficiency bounds
blocks

Block designs for unstructured treatment sets
durban

Durban example data design
blockEfficiencies

D-Efficiency factors
HCF

Find hcf
blocksdesign-package

Blocks design package
fullrankModel

Full rank model