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Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology
Authors:Vito M R Muggeo  Mariangela Sciandra  Agostino Tomasello  Sebastiano Calvo
Institution:1. Dipartimento Scienze Statistiche e Matematiche ‘Vianelli’, Università di Palermo, Palermo, Italy
2. Dipartimento Scienze della Terra e del Mare, Università di Palermo, Palermo, Italy
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.
Keywords:
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