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linLIR (version 1.1)

linear Likelihood-based Imprecise Regression

Description

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

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Version

Install

install.packages('linLIR')

Monthly Downloads

22

Version

1.1

License

GPL (>= 2)

Maintainer

Andrea Wiencierz

Last Published

November 14th, 2012

Functions in linLIR (1.1)

s.linlir

Simple linear Likelihood-based Imprecise Regression
gen.lms

Finding LRM regression line(s)
toy.smps

Simulated data set containing 17 interval-valued observations of 2 variables.
kl.ku

Finding k.l and k.u
undom

Finding undominated parameters
idf

Interval data frame
pm10

Simulated data set with 514 interval-valued observations of two variables.