growthData

The <code>growthData</code> data frame has 200 rows and 3 columns.

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

growthData function

A data frame with 200 observations on the following 3 variables.<dl>
 <dt><code>x</code></dt>
<dd>the supposed `age' variable.</dd> <dt><code>y</code></dt>
<dd>the supposed growth variable (e.g. weight).</dd> <dt><code>z</code></dt>
<dd>an additional variable to be considered in the model.</dd> 
</dl>

Format

Simulated data to illustrate capabilities of the package — growthData

A data frame with 200 observations on the following 3 variables.<dl>
 <dt><code>x</code></dt>
<dd>the supposed `age' variable.</dd>

 <dt><code>y</code></dt>
<dd>the supposed growth variable (e.g. weight).</dd>

 <dt><code>z</code></dt>
<dd>an additional variable to be considered in the model.</dd>

 
</dl>

growthData: Simulated data to illustrate capabilities of the package

Description

Usage

Arguments

Format

Details

Examples