SiChildren

Age, height and weight in a sample of 1424 Italian children born in Sicily in the eighties

datasets

Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms, including varying coefficients, via B-splines with L1-norm difference penalties.
Random intercepts and variable selection are allowed via the lasso penalties.
The smoothing parameters are estimated as part of the model fitting, see Muggeo and others (2021) <doi:10.1177/1471082X20929802>. Monotonicity and concavity
constraints on the fitted curves are allowed, see Muggeo and others (2013) <doi:10.1007/s10651-012-0232-1>,
and also <doi:10.13140/RG.2.2.12924.85122> or <doi:10.13140/RG.2.2.29306.21445> some code examples.

Vito MR Muggeo

quantregGrowth

Non-Crossing Additive Regression Quantiles and Non-Parametric
Growth Charts

SiChildren function

A data frame with 1424 observations on the following 3 variables.<dl>
 <dt><code>age</code></dt>
<dd>age in years</dd> <dt><code>height</code></dt>
<dd>child height (in centimeter)</dd> <dt><code>weight</code></dt>
<dd>child weight (in kilo)</dd> 
</dl>

Format

Age, height and weight in a sample of Italian children — SiChildren

A data frame with 1424 observations on the following 3 variables.<dl>
 <dt><code>age</code></dt>
<dd>age in years</dd>

 <dt><code>height</code></dt>
<dd>child height (in centimeter)</dd>

 <dt><code>weight</code></dt>
<dd>child weight (in kilo)</dd>

 
</dl>

SiChildren: Age, height and weight in a sample of Italian children

Description

Usage

Arguments

Format

Details

Examples