Title: Nested Block Designs for Unstructured Treatments

replication. Blocks are optimized hierarchically from the top down with each set of
nested blocks optimized within the levels of the preceding set of blocks. Block sizes

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,

Description: 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

Description: Constructs nested and crossed block designs
for unstructured treatment sets with arbitrary replication not necessarily all equal.
Blocks can be nested to any required depth of nesting and blocks are optimized
hierarchically from the top down with successive nested blocks strata optimized within
the levels of all preceding blocks strata. Block sizes are all equal in any one stratum if the number
of blocks in that stratum exactly divides the number of plots, otherwise they differ by at most one plot.
The design output is a data table showing a randomised allocation of treatments to blocks together with
plans showing the allocation of treatments to blocks for each block in the bottom stratum of the design.
D and A-efficiency factors are shown for each stratum together with A-efficiency upper bounds,

Title: Nested and Crossed Block Designs for Unstructured Treatment Sets

Package: blocksdesign
Type: Package
Title: Nested and Crossed Block Designs for Unstructured and Factorial
Treatment Sets
Version: 2.3
Date: 2016-12-08
Author: R. N. Edmondson
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>
Depends: R (>= 3.1.0)
Description: 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.
License: GPL (>= 2)
Imports: crossdes
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-09 11:20:36 UTC; rne
Repository: CRAN
Date/Publication: 2016-12-09 13:13:29