blocksdesign: Nested and Crossed Block Designs for Unstructured and Factorial Treatment Sets

Constructs randomized nested or crossed block designs for unstructured treatment sets or for factorial treatments sets. Where the treatments are factorial, the treatments model can be defined by using the model formulation defined in the model.matrix {stats} base package. Blocks are nested hierarchically in successive blocks strata and the blocks model in any particular stratum can comprise either a simple nested blocks design or a crossed row-and-column design. Block sizes in any one stratum are either all equal or differ, at most, by one plot. The design outputs include a data frame showing the allocation of treatments to blocks, a table showing block levels, the achieved D-efficiency, the achieved A-efficiency (unstructured treatments only) and A-efficiency upper bounds, where available, for each stratum in the design. For designs with simple unstructured treatments, a plan layout showing the allocation of treatments to blocks or to rows and columns in the bottom stratum of the design is also given.

Version: 2.3
Depends: R (≥ 3.1.0)
Imports: crossdes
Published: 2016-12-09
Author: R. N. Edmondson
Maintainer: Rodney Edmondson <rodney.edmondson at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: ExperimentalDesign
CRAN checks: blocksdesign results

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Reference manual: blocksdesign.pdf
Package source: blocksdesign_2.3.tar.gz
Windows binaries: r-devel: blocksdesign_2.3.zip, r-release: blocksdesign_2.3.zip, r-oldrel: blocksdesign_2.3.zip
OS X Mavericks binaries: r-release: blocksdesign_2.3.tgz, r-oldrel: blocksdesign_2.3.tgz
Old sources: blocksdesign archive

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