Diagnostics methods for quantile regression models for detecting influential observations: robust distance methods for general quantile regression models; generalized Cook's distance and Qfunction distance method for quantile regression models using aymmetric Laplace distribution. Reference of this method can be found in Luis E. Benites, Víctor H. Lachos, Filidor E. Vilca (2015) <arXiv:1509.05099v1>; mean posterior probability and Kullback–Leibler divergence methods for Bayes quantile regression model. Reference of this method is Bruno Santos, Heleno Bolfarine (2016) <arXiv:1601.07344v1>.
Package details 


Author  Wenjing Wang <[email protected]>, Di Cook <vi[email protected]>, Earo Wang <[email protected]> 
Maintainer  Wenjing Wang <[email protected]> 
License  GPL (>= 2) 
Version  0.1.0 
URL  https://github.com/wenjingwang/quokar 
Package repository  View on CRAN 
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