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 |
| 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 |