Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology.
- Authors: Muggeo, VMR; Sciandra, M; Tomasello, A; Calvo, S
- Publication year: 2013
- Type: Articolo in rivista (Articolo in rivista)
- OA Link: http://hdl.handle.net/10447/75218
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.