Provides an implementation of Gaussian process panel modeling (GPPM). GPPM is described in Karch (2016; <doi:10.18452/17641>) and Karch, Brandmaier & Voelkle (2018; <doi:10.17605/OSF.IO/KVW5Y>). 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: | 0.2.0 |
| Depends: | R (≥ 3.1.0), Rcpp (≥ 0.12.17) |
| Imports: | rstan (≥ 2.17.3), ggplot2 (≥ 2.2.1), MASS (≥ 7.3-49), ggthemes (≥ 3.5.0), mvtnorm (≥ 1.0-8), stats, methods |
| Suggests: | testthat (≥ 2.0.0), knitr (≥ 1.20), rmarkdown (≥ 1.10), roxygen2 (≥ 6.0.1) |
| Published: | 2018-07-05 |
| 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 |
| CRAN checks: | gppm results |
| Reference manual: | gppm.pdf |
| Package source: | gppm_0.2.0.tar.gz |
| Windows binaries: | r-devel: gppm_0.2.0.zip, r-release: gppm_0.2.0.zip, r-oldrel: gppm_0.2.0.zip |
| macOS binaries: | r-release: gppm_0.2.0.tgz, r-oldrel: gppm_0.2.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=gppm to link to this page.