lgpr (Q64689)
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Longitudinal Gaussian Process Regression
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | lgpr |
Longitudinal Gaussian Process Regression |
Statements
24 September 2023
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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>.
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