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gppm: Gaussian Process Panel Modeling
Provides an implementation of Gaussian process panel modeling (GPPM). GPPM is described in Karch, Brandmaier & Voelkle (2020; <DOI:10.3389/fpsyg.2020.00351>) and Karch (2016; <DOI:10.18452/17641>). 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.
Getting started
Browse package contents
Package details |
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| Author | Julian D. Karch [aut, cre, cph] |
| Maintainer | Julian D. Karch <j.d.karch@fsw.leidenuniv.nl> |
| License | GPL-3 | file LICENSE |
| Version | 0.3.0 |
| URL | https://github.com/karchjd/gppm |
| Package repository | View on CRAN |
| Installation |
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