plot_inputwarp

Visualize input warping function with several steepness parameter values

Interpretable nonparametric modeling of longitudinal data
using additive Gaussian process regression. Contains functionality
for inferring covariate effects and assessing covariate relevances.
Models are specified using a convenient formula syntax, and can include
shared, group-specific, non-stationary, heterogeneous and temporally
uncertain effects. Bayesian inference for model parameters is performed
using 'Stan'. The modeling approach and methods are described in detail in
Timonen et al. (2021) <doi:10.1093/bioinformatics/btab021>.

Juho Timonen

lgpr

Longitudinal Gaussian Process Regression

Andrew Johnson

plot_inputwarp function

<dl><dt>wrp</dt>
<dd>a vector of values of the warping steepness parameter</dd>
<dt>x</dt>
<dd>a vector of input values</dd>
<dt>color</dt>
<dd>line color</dd>
<dt>alpha</dt>
<dd>line alpha</dd></dl>

Arguments

Visualize input warping function with several steepness parameter values — plot_inputwarp

<dl>

<dt>wrp</dt>
<dd>a vector of values of the warping steepness parameter</dd>


<dt>x</dt>
<dd>a vector of input values</dd>


<dt>color</dt>
<dd>line color</dd>


<dt>alpha</dt>
<dd>line alpha</dd>

</dl>

plot_inputwarp: Visualize input warping function with several steepness parameter values

Description

Usage

Value

Arguments