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.

Author
Andrea Wiencierz
Date of publication
2012-11-14 11:16:54
Maintainer
Andrea Wiencierz <Andrea.Wiencierz@stat.uni-muenchen.de>
License
GPL (>= 2)
Version
1.1

View on CRAN

Man pages

gen.lms
Finding LRM regression line(s)
idf
Interval data frame
kl.ku
Finding 'k.l' and 'k.u'
pm10
Simulated data set with 514 interval-valued observations of...
s.linlir
Simple linear Likelihood-based Imprecise Regression
toy.smps
Simulated data set containing 17 interval-valued observations...
undom
Finding undominated parameters

Files in this package

linLIR
linLIR/MD5
linLIR/man
linLIR/man/toy.smps.Rd
linLIR/man/kl.ku.Rd
linLIR/man/s.linlir.Rd
linLIR/man/idf.Rd
linLIR/man/gen.lms.Rd
linLIR/man/undom.Rd
linLIR/man/pm10.Rd
linLIR/DESCRIPTION
linLIR/NAMESPACE
linLIR/R
linLIR/R/linLIRfunctions.R
linLIR/data
linLIR/data/pm10.RData
linLIR/data/toy.smps.RData