RankDistanceModel fits ranking models based on inputs
RankDistanceModel(dat, init, ctrl)A list containing the following components:
modal_ranking.estthe estimated modal ranking for each cluster.
pthe marginal probability of each cluster.
w.estthe estimated weights of each cluster.
param.estthe phi parametrisation of weights of each cluster (for Weighted Kendall model only).
SSRthe sum of squares of Pearson residuals
log_likelihoodthe fitted log_likelihood
BICthe fitted Bayesian Information Criterion value
free_paramsthe number of free parameters in the model
expectationthe expected value of each observation given by the model
iterationthe number of EM iteration
model.callthe function call
The procedure will estimate central rankings, the probability of each cluster and weights.