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

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Advances in Social Science Research Using R

Part of the book series: Lecture Notes in Statistics ((LNSP,volume 196))

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Economics, University of Illinois, Champaign, IL, 61820, USA

    Roger Koenker

Authors
  1. Roger Koenker
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Correspondence to Roger Koenker .

Editor information

Editors and Affiliations

  1. Dept. Economics, Fordham University, E. Fordham Road 441, Bronx, 10458, U.S.A.

    Hrishikesh D. Vinod

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Koenker, R. (2010). Additive Models for Quantile Regression: An Analysis of Risk Factors for Malnutrition in India. In: Vinod, H. (eds) Advances in Social Science Research Using R. Lecture Notes in Statistics(), vol 196. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1764-5_2

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