show

show,lgpformula-method

show,lgprhs-method

show,lgpterm-method

Printing formula object info using the show generic

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

show function

<dl><dt>object</dt>
<dd>an object of some S4 class</dd></dl>

Arguments

Printing formula object info using the show generic — show

<dl>

<dt>object</dt>
<dd>an object of some S4 class</dd>

</dl>

show: Printing formula object info using the show generic

Description

Usage

Value

Arguments