ModelSummary

<p>a ranking model returned by a call to RankDistanceModel function.</p>

model

<p>Print a brief summary of the fitted model. This includes information about goodness
of fit as well as parameter estimation.</p>

Implements distance based probability models for ranking data.
The supported distance metrics include Kendall distance, Spearman distance, Footrule distance, Hamming distance,
Weighted-tau distance and Weighted Kendall distance.
Phi-component model and mixture models are also supported.

Zhaozhi Qian

ModelSummary: Print a brief summary of the fitted model

Description

Usage

Arguments