Package: AlgDesign 1.2.1

AlgDesign: Algorithmic Experimental Design

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.

Authors:Bob Wheeler <[email protected]>

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NEWS

# Install 'AlgDesign' in R:
install.packages('AlgDesign', repos = c('https://jvbraun.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jvbraun/algdesign/issues

Datasets:

On CRAN:

10 exports 12 stars 4.87 score 0 dependencies 33 dependents 8 mentions 111 scripts 18.7k downloads

Last updated 2 years agofrom:a3e5829630. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-win-x86_64OKSep 12 2024
R-4.5-linux-x86_64OKSep 12 2024
R-4.4-win-x86_64OKSep 12 2024
R-4.4-mac-x86_64OKSep 12 2024
R-4.4-mac-aarch64OKSep 12 2024
R-4.3-win-x86_64OKSep 12 2024
R-4.3-mac-x86_64OKSep 12 2024
R-4.3-mac-aarch64OKSep 12 2024

Exports:actualsefficient.roundingeval.blockdesigneval.designexpand.formulagen.factorialgen.mixtureoptBlockoptFederovoptMonteCarlo

Dependencies:

Using AlgDesign

Rendered fromAlgDesign.Rnwusingutils::Sweaveon Sep 12 2024.

Last update: 2022-05-24
Started: 2011-10-14