|Title:||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 and inference are discussed in detail using a real data example. A thorough description of the optimization algorithms is also provided.|
Page views:: 8076. Submitted: 2013-06-02. Published: 2014-05-06.
Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression
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