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
Roxygen: list(markdown = TRUE)
Encoding: UTF-8


