linLIR: linear Likelihood-based Imprecise Regression

This package implements the methodology of Likelihood-based Imprecise Regression (LIR) for the case of linear regression with interval data.

Version:	1.1
Published:	2012-11-14
Author:	Andrea Wiencierz
Maintainer:	Andrea Wiencierz <Andrea.Wiencierz at stat.uni-muenchen.de>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	linLIR results

Documentation:

Reference manual:

linLIR.pdf

Downloads:

Package source:	linLIR_1.1.tar.gz
Windows binaries:	r-devel: linLIR_1.1.zip, r-release: linLIR_1.1.zip, r-oldrel: linLIR_1.1.zip
macOS binaries:	r-release (arm64): linLIR_1.1.tgz, r-oldrel (arm64): linLIR_1.1.tgz, r-release (x86_64): linLIR_1.1.tgz, r-oldrel (x86_64): linLIR_1.1.tgz
Old sources:	linLIR archive

Reverse dependencies:

Reverse imports:

hmi

Linking:

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