Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology

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Authors Vito M. R. Muggeo, Mariangela Sciandra, Agostino Tomasello, Sebastiano Calvo
Journal/Conference Name Environmental and Ecological Statistics
Paper Category
Paper Abstract We discuss a practical and effective framework to estimate reference growth charts via regression quantiles. Inequality constraints are used to ensure both monotonicity and non-crossing of the estimated quantile curves and penalized splines are employed to model the nonlinear growth patterns with respect to age. A companion R package is presented and relevant code discussed to favour spreading and application of the proposed methods.
Date of publication 2012
Code Programming Language R

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