Additive Models for Quantile Regression: An Analysis of Risk Factors for Malnutrition in India

  • Roger Koenker
Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 196)


This brief report describes some recent developments of the R quantreg package to incorporate methods for additive models. The methods are illustrated with an application to modeling childhood malnutrition in India.


Quantile Regression Generalize Additive Model Conditional Quantile Modeling Risk Factor Nonparametric Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York 2010

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of IllinoisChampaignUSA

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