Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression
Abstract
Inference in quantile analysis has received considerable attention in the recent years. Linear quantile mixed models (Geraci and Bottai 2014) represent a flexible statistical tool to analyze data from sampling designs such as multilevel, spatial, panel or longitudinal, which induce some form of clustering. In this paper, I will show how to estimate conditional quantile functions with random effects using the R package lqmm. Modeling, estimation...
Paper Details
Title
Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression
Published Date
May 6, 2014
Volume
57
Issue
1
Pages
1 - 29
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