Learn R Programming

AlgDesign (version 1.2.1.1)

Algorithmic Experimental Design

Description

Algorithmic experimental designs. Calculates exact and approximate theory experimental designs for D,A, and I criteria. Very large designs may be created. Experimental designs may be blocked or blocked designs created from a candidate list, using several criteria. The blocking can be done when whole and within plot factors interact.

Copy Link

Version

Install

install.packages('AlgDesign')

Monthly Downloads

31,777

Version

1.2.1.1

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

September 21st, 2024

Functions in AlgDesign (1.2.1.1)

optFederov

Optimal design
CCTable11.1a

Cochran and Cox design
model.matrix.formula

Builds a model matrix
gen.mixture

Generate mixture
eval.blockdesign

Evaluates a blocked design.
eval.design

Evaluates a design.
optMonteCarlo

Optimal design via Monte Carlo
efficient.rounding

Efficient Rounding
GVTable1

Goos Vandebroek Table 1
model.matrix.terms

Internal model.matrix.terms function
optBlock

Optimal design blocking
expand.formula

Expanding a formula
gen.factorial

Generates a full factorial design
TGTable3

Trinca Gilmour Table 3
TGTable5

Trinca Gilmour Table 5
GVTable3

Goos Vandebroek Table 3
AlgDesign-internal

Internal AlgDesign function