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license: GPL-2.0-or-later
title: 'blocksdesign: Nested and Crossed Block Designs for Factorial and Unstructured
  Treatment Sets'
version: '4.9'
doi: 10.32614/CRAN.package.blocksdesign
abstract: Constructs treatment and block designs for linear treatment models with
  crossed or nested block factors. The treatment design can be any feasible linear
  model and the block design can be any feasible combination of crossed or nested
  block factors. The block design is a sum of one or more block factors and the block
  design is optimized sequentially with the levels of each successive block factor
  optimized conditional on all previously optimized block factors. D-optimality is
  used throughout except for square or rectangular lattice block designs which are
  constructed algebraically using mutually orthogonal Latin squares. Crossed block
  designs with interaction effects are optimized using a weighting scheme which allows
  for differential weighting of first and second-order block effects. 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. Edmondson, R.N. Multi-level
  Block Designs for Comparative Experiments. JABES 25, 500–522 (2020) <https://doi.org/10.1007/s13253-020-00416-0>.
authors:
- family-names: Edmondson
  given-names: Rodney
  email: rodney.edmondson@gmail.com
- family-names: Edmondson.
  given-names: R. N.
repository: https://rned.r-universe.dev
commit: 239ce85fc5d7f6078927f409ca66a1859243c70b
date-released: '2021-04-07'
contact:
- family-names: Edmondson
  given-names: Rodney
  email: rodney.edmondson@gmail.com