Package: gppm
Version: 0.2.0
Title: Gaussian Process Panel Modeling
Description: 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.
Authors@R: c(person(c("Julian", "D."), "Karch", email="j.d.karch@fsw.leidenuniv.nl", role=c("aut", "cre", "cph")))
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)
License: GPL-3 | file LICENSE
LazyData: true
URL: https://github.com/karchjd/gppm
BugReports: https://github.com/karchjd/gppm/issues
RoxygenNote: 6.0.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2018-06-26 12:45:22 UTC; karchjd
Author: Julian D. Karch [aut, cre, cph]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>
Repository: CRAN
Date/Publication: 2018-07-05 11:30:06 UTC
Built: R 4.1.0; ; 2021-05-27 20:15:15 UTC; unix
