Title: Run Orders with Assignment-Expansion Method
Version: 0.1.0
Maintainer: Romario Conto <racontol@unal.edu.co>
Description: It enables the identification of sequentialexperimentation orders for factorial designs that jointly reduce bias and the number of level changes. The method used is that presented by Conto et al. (2025), known as the Assignment-Expansion method, which consists of adapting the linear programming assignment problem to generate balanced experimentation orders. The properties identified are then generalized to designs with a larger number of factors and levels using the expansion method proposed by Correa et al. (2009) and later generalized by Bhowmik et al. (2017). For more details see Conto et al. (2025) <doi:10.1016/j.cie.2024.110844>, Correa et al. (2009) <doi:10.1080/02664760802499337> and Bhowmik et al. (2017) <doi:10.1080/03610926.2016.1152490>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://github.com/RomarioContoL/rob
BugReports: https://github.com/RomarioContoL/rob/issues
Imports: FMC, minimalRSD
NeedsCompilation: no
Packaged: 2025-04-18 04:16:48 UTC; pc
Author: Romario Conto ORCID iD [aut, cre], Alexander Correa [ctb], Olga Usuga [ctb], Pablo Maya [ctb]
Repository: CRAN
Date/Publication: 2025-04-22 13:50:02 UTC

Function to add a new column to the matrix

Description

Function to add a new column to the matrix

Usage

adcol(x, y, z, run)

Arguments

x

levels vector of the new factor

y

number of levels of the new factor

z

level vector of the initial matrix

run

initial run matrix

Value

matrix with the new run order

Examples

x = matrix(c(-1, 1), ncol = 1)
y = length(x)
z = c(2,2,2)
run=matrix(c(1,-1,1,-1,1,1,-1,-1), ncol=2)
adcol(x,y,z,run)

Assignment-Expansion method

Description

Assignment-Expansion method

Usage

runorder(z)

Arguments

z

vector with the levels of the factor

Value

order of experimentation with bias and number of level changes in balance

Examples

z<-c(2,2,2,2,2,2)
runorder(z)
z<-c(4,3,2,3,2)
runorder(z)
z<-c(3,3,2,4)
runorder(z)