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.
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Muggeo, V.M.R., Sciandra, M., Tomasello, A. et al. Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology. Environ Ecol Stat 20, 519–531 (2013). https://doi.org/10.1007/s10651-012-0232-1
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DOI: https://doi.org/10.1007/s10651-012-0232-1