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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("gppm")

0.2.0 by Julian D. Karch, 10 months 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 rstan, ggplot2, MASS, ggthemes, mvtnorm, stats, methods

Depends on Rcpp

Suggests testthat, knitr, rmarkdown, roxygen2


See at CRAN