fit_summary

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

fit_summary function

<dl><dt>fit</dt>
<dd>an object of class lgpfit</dd>
<dt>ignore_pars</dt>
<dd>parameters and generated quantities to ignore from output</dd></dl>

Arguments

Print a fit summary. — fit_summary

<dl>

<dt>fit</dt>
<dd>an object of class lgpfit</dd>


<dt>ignore_pars</dt>
<dd>parameters and generated quantities to ignore from output</dd>

</dl>

fit_summary: Print a fit summary.

Description

Usage

Value

Arguments