Gaussian Process Panel Modeling

Provides an implementation of Gaussian process panel modeling (GPPM). GPPM is described in Karch (2016; ) and Karch, Brandmaier & Voelkle (2018; ). Essentially, GPPM is Gaussian process based modeling of longitudinal panel data. 'gppm' also supports regular Gaussian process regression (with a focus on flexible model specification), and multi-task learning.


Reference manual

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0.2.0 by Julian D. Karch, 3 years ago

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Authors: Julian D. Karch [aut, cre, cph]

Documentation:   PDF Manual  

GPL-3 | file LICENSE license

Imports rstan, ggplot2, MASS, ggthemes, mvtnorm, stats, methods

Depends on Rcpp

Suggests testthat, knitr, rmarkdown, roxygen2

See at CRAN