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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.
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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