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.
|Number of pages||13|
|Journal||Environmental and Ecological Statistics|
|Publication status||Published - 2013|
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- General Environmental Science
- Statistics, Probability and Uncertainty