dbm | R Documentation |
Distance-based Models for ranking data. The distance-based models assume that rankings closer to the modal ranking are more likely to be observed.
dbm(dset, dtype="tau")
dset |
a ranking dataset |
dtype |
type of distance between two rankings. tau : Kendall's tau, rho : Spearman's rho, rho2 : Spearman's rho square, foot : footrule |
Fit the distance-based models for the dataset and return a mle object. Standard methods on mle (e.g., @coef, @vcov) apply. The modal ranking and the Chi-square residual are given in the output.
Paul H. Lee and Philip L. H. Yu
wdbm
library(pmr) ## 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 distance-based model with Spearman's rho distance ## dbm(test,dtype="rho")
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