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.

Version:	0.3.0
Depends:	R (≥ 3.5)
Imports:	ggplot2 (≥ 2.2.1), ggthemes (≥ 3.5.0), MASS (≥ 7.3-49), methods, mvtnorm (≥ 1.0-8), Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.4.0), stats
LinkingTo:	BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests:	testthat (≥ 2.0.0), knitr (≥ 1.20), rmarkdown (≥ 1.10), roxygen2 (≥ 6.0.1), testit (≥ 0.12), covr
Published:	2025-08-25
DOI:	10.32614/CRAN.package.gppm
Author:	Julian D. Karch [aut, cre, cph]
Maintainer:	Julian D. Karch <j.d.karch at fsw.leidenuniv.nl>
BugReports:	https://github.com/karchjd/gppm/issues
License:	GPL-3 | file LICENSE
URL:	https://github.com/karchjd/gppm
NeedsCompilation:	no
SystemRequirements:	GNU make
CRAN checks:	gppm results

Documentation:

Reference manual:

gppm.html , gppm.pdf

Downloads:

Package source:	gppm_0.3.0.tar.gz
Windows binaries:	r-devel: gppm_0.3.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): gppm_0.3.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): gppm_0.3.0.tgz, r-oldrel (x86_64): gppm_0.3.0.tgz
Old sources:	gppm archive

Linking:

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