blocksdesign: Nested Block Designs for Unstructured Treatments

Nested block designs for unstructured treatment sets where blocks can be repeatedly nested and treatments can have different levels of replication. Blocks are optimized hierarchically from the top down with each set of nested blocks optimized within the levels of any existing higher-level blocks. Block sizes are equal if the number of blocks exactly divides the number of plots, otherwise they differ by at most one plot. The design output is a data table giving a randomised allocation of treatments to blocks together with a plan table showing treatments in blocks and a set of blocks-by-treatments incidence matrices, one for each blocks stratum.

Version: 1.9
Depends: R (≥ 3.1.0)
Imports: crossdes
Suggests: knitr
Published: 2015-11-23
Author: R. N. Edmondson
Maintainer: Rodney Edmondson <rodney.edmondson at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.expdesigns.co.uk
NeedsCompilation: no
In views: ExperimentalDesign
CRAN checks: blocksdesign results

Downloads:

Reference manual: blocksdesign.pdf
Vignettes: An Introduction to the blocksdesign package
Package source: blocksdesign_1.9.tar.gz
Windows binaries: r-devel: blocksdesign_1.9.zip, r-release: blocksdesign_1.9.zip, r-oldrel: blocksdesign_1.9.zip
OS X Snow Leopard binaries: r-release: blocksdesign_1.9.tgz, r-oldrel: blocksdesign_1.6.tgz
OS X Mavericks binaries: r-release: blocksdesign_1.9.tgz
Old sources: blocksdesign archive