lgpformula-class

lgpformula

An S4 class to represent an lgp formula

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

lgpformula-class function

<dl>
<dt><code>terms</code></dt>
<dd>an object of class lgprhs</dd></dl>
<dt><code>y_name</code></dt>
<dd>name of the response variable</dd>
<dt><code>call</code></dt>
<dd>original formula call</dd>

Slots

An S4 class to represent an lgp formula — lgpformula-class

<dl>
<dt><code>terms</code></dt>
<dd>an object of class lgprhs</dd>


<dt><code>y_name</code></dt>
<dd>name of the response variable</dd>


<dt><code>call</code></dt>
<dd>original formula call</dd>


</dl>

lgpformula-class: An S4 class to represent an lgp formula

Description

Arguments

Slots

See Also