ic.infer: Inequality Constrained Inference in Linear Normal Situations (original) (raw)

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: 1.1-7
Depends: R (≥ 2.5.0)
Imports: quadprog, mvtnorm, boot, kappalab
Suggests: relaimpo
Published: 2023-10-04
DOI: 10.32614/CRAN.package.ic.infer
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <ulrike.groemping at bht-berlin.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://prof.bht-berlin.de/groemping/
NeedsCompilation: no
Citation: ic.infer citation info
Materials:
CRAN checks: ic.infer results

Documentation:

Reference manual: ic.infer.html , <ic.infer.pdf>
Vignettes: ic.infer: theory and usage instructions (source, R code)

Downloads:

Package source: ic.infer_1.1-7.tar.gz
Windows binaries: r-devel: ic.infer_1.1-7.zip, r-release: ic.infer_1.1-7.zip, r-oldrel: ic.infer_1.1-7.zip
macOS binaries: r-release (arm64): ic.infer_1.1-7.tgz, r-oldrel (arm64): ic.infer_1.1-7.tgz, r-release (x86_64): ic.infer_1.1-7.tgz, r-oldrel (x86_64): ic.infer_1.1-7.tgz
Old sources: ic.infer archive

Reverse dependencies:

Reverse imports: EffectLiteR

Linking:

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