gppm: Gaussian Process Panel Modeling (original) (raw)
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 |
URL: | https://github.com/karchjd/gppm |
NeedsCompilation: | no |
SystemRequirements: | GNU make |
CRAN checks: | gppm results [issues need fixing before 2025-10-31] |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=gppmto link to this page.