Provides an implementation of Gaussian process panel modeling (GPPM). GPPM is described in Karch (2016; <DOI:10.18452/17641>) and Karch, Brandmaier & Voelkle (2018; <DOI:10.17605/OSF.IO/KVW5Y>). 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.
|License||GPL-3 | file LICENSE|
|Package repository||View on GitHub|
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