ic.infer: Inequality Constrained Inference in Linear Normal Situations

Implements inequality constrained inference. This includes parameter estimation in normal (linear) models under linear equality and inequality constraints, as well as normal likelihood ratio tests involving inequality-constrained hypotheses. For inequality-constrained linear models, averaging over R-squared for different orderings of regressors is also included.

Version: 1.1-6
Depends: R (≥ 2.5.0)
Imports: quadprog, mvtnorm, boot, kappalab
Suggests: relaimpo
Published: 2018-01-26
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <groemping at beuth-hochschule.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://prof.beuth-hochschule.de/groemping/
NeedsCompilation: no
Citation: ic.infer citation info
Materials: NEWS
CRAN checks: ic.infer results

Downloads:

Reference manual: ic.infer.pdf
Vignettes: ic.infer: theory and usage instructions
Package source: ic.infer_1.1-6.tar.gz
Windows binaries: r-prerel: ic.infer_1.1-6.zip, r-release: ic.infer_1.1-6.zip, r-oldrel: ic.infer_1.1-6.zip
OS X binaries: r-prerel: ic.infer_1.1-6.tgz, r-release: ic.infer_1.1-6.tgz
Old sources: ic.infer archive

Reverse dependencies:

Reverse imports: restriktor
Reverse suggests: sirt

Linking:

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