Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Sonja Kuhnt, Nikolaus Rudak
Title: Simultaneous Optimization of Multiple Responses with the R Package JOP
Abstract: A joint optimization plot, shortly JOP, graphically displays the result of a loss function based robust parameter design for multiple responses. Different importance of reaching a target value can be assigned to the individual responses by weights. The JOP method simultaneously runs through a whole range of possible weights. For each weight matrix a parameter setting is derived which minimizes the estimated expected loss. The joint optimization plot displays these settings together with corresponding expected values and standard deviations of the response variable. The R package JOP provides all tools necessary to apply the JOP approach to a given data set. It also returns parameter settings for a desirable compromise of achieved expected responses chosen from the plot.

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Paper: Simultaneous Optimization of Multiple Responses with the R Package JOP     Download PDF (Downloads: 7454)
JOP_3.6.tar.gz: R source package Download (Downloads: 311; 14KB)
v54i09.R: R example code from the paper Download (Downloads: 374; 4KB)

DOI: 10.18637/jss.v054.i09

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.