as_character

as.character,lgpexpr-method

as.character,lgpterm-method

as.character,lgpformula-method

Character representations of different formula objects

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

as_character function

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

Arguments

Character representations of different formula objects — as_character

<dl>

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

</dl>

as_character: Character representations of different formula objects

Description

Usage

Value

Arguments