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Inference with Linear Equality and Inequality Constraints UsingR: The Packageic.infer
Author(s) -
Ulrike Grömping
Publication year - 2010
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v033.i10
Subject(s) - inference , inequality , r package , statistical inference , linear inequality , computer science , econometrics , mathematics , statistics , programming language , artificial intelligence , mathematical analysis
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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