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: Ulrike Grömping
Title: Inference with Linear Equality and Inequality Constraints Using R: The Package ic.infer
Abstract: In linear models and multivariate normal situations, prior information in linear inequality form may be encountered, or linear inequality hypotheses may be subjected to statistical tests. R package ic.infer has been developed to support inequality-constrained estimation and testing for such situations. This article gives an overview of the principles underlying inequality-constrained inference that are far less well-known than methods for unconstrained or equality-constrained models, and describes their implementation in the package.

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Paper: Inference with Linear Equality and Inequality Constraints Using R: The Package ic.infer     Download PDF (Downloads: 5979)
Supplements:
ic.infer_1.1-3.tar.gz: R source package Download (Downloads: 844; 487KB)
v33i10.R: R example code from the paper Download (Downloads: 882; 4KB)
DOI: 10.18637/jss.v033.i10

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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.