blocksdesign

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

Constructs randomized nested row-and-column type block designs with arbitrary depth of nesting for arbitrary factorial or fractional factorial treatment designs. The treatment model can be defined by a models.matrix formula which allows any feasible combination of quantitative or qualitative model terms. Any feasible design size can be defined and, where necessary, a D-optimal swapping routine will find the best fraction for the required design size. Blocks are nested hierarchically and the block model for any particular level of nesting can comprise either a simple nested blocks design or a crossed row-and-column blocks design. Block sizes are either all equal or differ, at most, by one plot within any particular row or column classification and any particular level of nesting. The design outputs include a data frame showing the allocation of treatments to blocks, a table showing block levels, the fractional design efficiency, 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.

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Package
blocksdesign
Type
Package
Title
Nested and Crossed Block Designs for Factorial, Fractional Factorial and Unstructured Treatment Sets
Version
2.5
Date
2017-06-15
Author
R. N. Edmondson
Maintainer
Rodney Edmondson
Depends
R (>= 3.1.0)
Description
Constructs randomized nested row-and-column type block designs with arbitrary depth of nesting for arbitrary factorial or fractional factorial treatment designs. The treatment model can be defined by a models.matrix formula which allows any feasible combination of quantitative or qualitative model terms. Any feasible design size can be defined and, where necessary, a D-optimal swapping routine will find the best fraction for the required design size. Blocks are nested hierarchically and the block model for any particular level of nesting can comprise either a simple nested blocks design or a crossed row-and-column blocks design. Block sizes are either all equal or differ, at most, by one plot within any particular row or column classification and any particular level of nesting. The design outputs include a data frame showing the allocation of treatments to blocks, a table showing block levels, the fractional design efficiency, 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
6.0.1
NeedsCompilation
no
Packaged
2017-06-15 15:19:41 UTC; rodney
Repository
CRAN
Date/Publication
2017-06-15 15:29:23 UTC

install.packages('blocksdesign')

2.5

8 days ago

Rodney Edmondson

GPL (>= 2)

Depends on

R (>= 3.1.0)

Imports

crossdes

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