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FactEff (version 1.0)

Efficiencies of Block Designs for Factorial and Fractional Factorial Experiments

Description

Opens a 'shiny' app which supports theoretical and computational analysis of block designs for symmetrical and mixed level factorial experiments. This package includes tools to check whether a design has orthogonal factorial structure (OFS) with balance or not and is able to find the orthogonality deviation value if not having OFS. This package includes function to evaluate efficiency factor of all factorial effects in two situations, in the first situation if the design is verified with OFS and balance then calculate the efficiencies of all factorial effects using a specific analytical procedure and in the second situation if the design is verified with non-OFS and balance then a new general method has been developed and used to calculate efficiencies under the condition that the design should be proper and equi-replicated, See Gupta, S.C. and Mukerjee, R. (1987): "A Calculus for factorial arrangements". Lecture Notes in Statistics. No. 59, Springer-Verlag, Berlin, New York, . For the easy use of package, 'shiny' app is used for giving inputs and inputs validation.

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Version

Install

install.packages('FactEff')

Monthly Downloads

87

Version

1.0

License

GPL (>= 2)

Maintainer

B N Mandal

Last Published

November 27th, 2025

Functions in FactEff (1.0)

run_app

opens 'shiny' interface to analyze a factorial design
analyze_design

Analyze properties of a blocked factorial design with given number of levels of factors and block contents
autogenerate_design

Autogenerate a blocked factorial design for given number of factors, factor levels, block size and replications