Usage
undom.a(dat, b, q.lrm, p = 0.5, bet, epsilon = 0)
undom.para(dat, b.range, b.extra = 0, b.grid = 1000, q.lrm, p = 0.5, bet, epsilon = 0)
Arguments
dat
An nx4 data.frame containing the imprecise data of the analyzed variables. Columns 1 and 2 correspond to the interval-valued observations of the regressor variable, columns 3 and 4 to those of the dependent variable.
b
A given value for the slope of a regression line.
q.lrm
Value of the p-quantile of the absolute residuals associated with the LRM line(s).
p
Quantile of the abolute residuals' distribution to be used as loss function in the LIR analysis. (0.5 corresponds to the median.)
bet
Cutoff-point for the normalized profile likelihood function.
epsilon
Fraction of errors considered.
b.range
Considered interval of slope values.
b.extra
If it is likely that the set of undominated regression parameters is unbounded, one can consider very small or large values in addition to the b.range.
b.grid
1/b.grid is the width between two points of the considered grid of slope values within b.range.