Gaussian Process Panel Modeling

Provides an implementation of Gaussian process panel modeling (GPPM). GPPM is described in Karch, Brandmaier & Voelkle (2020; ) and Karch (2016; ). 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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install.packages("gppm")

0.3.0 by Julian D. Karch, a year ago


https://github.com/karchjd/gppm


Report a bug at https://github.com/karchjd/gppm/issues


Browse source code at https://github.com/cran/gppm


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


Documentation:   PDF Manual  


GPL-3 | file LICENSE license


Imports ggplot2, ggthemes, MASS, methods, mvtnorm, Rcpp, RcppParallel, rstan, rstantools, stats

Suggests testthat, knitr, rmarkdown, roxygen2, testit, covr

Linking to BH, Rcpp, RcppEigen, RcppParallel, rstan, StanHeaders

System requirements: GNU make


See at CRAN