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

View Researcher's Other Codes

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

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
Comment

Copyright Researcher 2021