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

Downloads:

Reference manual: linLIR.pdf
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
OS X El Capitan binaries: r-release: linLIR_1.1.tgz
OS X Mavericks binaries: r-oldrel: linLIR_1.1.tgz
Old sources: linLIR archive

Reverse dependencies:

Reverse imports: hmi

Linking:

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