pl: The Luce Models

In pmr: Probability Models for Ranking Data

The Luce Models

Description

The Luce Models for ranking data. The Luce models assumed that the rankings of the items are proportional to the item parameters.

Usage

pl(dset)

Arguments

dset	a ranking dataset (aggregated)

Details

Fit the Luce models for the dataset and return a mle object. Standard methods on mle (e.g., @coef, @vcov) apply. The Chi-square residual are given in the output.

Author(s)

Paul H. Lee and Philip L. H. Yu

References

Luce, R. D. (1959) Individual Choice Behavior. New York: Wiley.

See Also

rinv

Examples

## create an artificial dataset
X1 <- c(1,1,2,2,3,3)
X2 <- c(2,3,1,3,1,2)
X3 <- c(3,2,3,1,2,1)
n <- c(6,5,4,3,2,1)
test <- data.frame(X1,X2,X3,n)

## fit the Luce model
## pl(test)

pmr documentation built on June 24, 2022, 5:06 p.m.