Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
MPCI: An R Package for Computing Multivariate Process Capability Indices | Santos-Fernández | Journal of Statistical Software
Authors: Edgar Santos-Fernández, Michele Scagliarini
Title: MPCI: An R Package for Computing Multivariate Process Capability Indices
Abstract: Manufacturing processes are often based on more than one quality characteristic. When these variables are correlated the process capability analysis should be performed using multivariate statistical methodologies. Although there is a growing interest in methods for evaluating the capability of multivariate processes, little attention has been given to developing user friendly software for supporting multivariate capability analysis. In this work we introduce the package MPCI for R, which allows to compute multivariate process capability indices. MPCI aims to provide a useful tool for dealing with multivariate capability assessment problems. We illustrate the use of MPCI package through both simulated and real examples.

Page views:: 3393. Submitted: 2011-09-20. Published: 2012-04-25.
Paper: MPCI: An R Package for Computing Multivariate Process Capability Indices     Download PDF (Downloads: 3462)
Supplements:
MPCI_1.0.4.tar.gz: R source package Download (Downloads: 429; 12KB)
v47i07.R: R example code from the paper Download (Downloads: 427; 2KB)

DOI: 10.18637/jss.v047.i07

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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.