Package: tsnet
Type: Package
Title: Fitting, Comparing, and Visualizing Networks Based on Time
        Series Data
Version: 0.1.0
Authors@R: 
  c(person("Björn S.", "Siepe", 
  email = "bjoernsiepe@gmail.com", 
  role = c("aut", "cre", "cph"),
  comment = c(ORCID = "0000-0002-9558-4648")),
  person("Matthias", "Kloft",
  email = "kloft@uni-marburg.de",
  role = c("aut"),
  comment = c(ORCID = "0000-0003-1845-6957")),
  person("Daniel W.", "Heck",
  email = "daniel.heck@uni-marburg.de",
  role = c("ctb"),
  comment = c(ORCID = "0000-0002-6302-9252")))
Maintainer: Björn S. Siepe <bjoernsiepe@gmail.com>
Description: Fit, compare, and visualize Bayesian graphical vector autoregressive (GVAR) network models using 'Stan'. These models are commonly used in psychology to represent temporal and contemporaneous relationships between multiple variables in intensive longitudinal data. Fitted models can be compared with a test based on matrix norm differences of posterior point estimates to quantify the differences between two estimated networks. See also Siepe, Kloft & Heck (2024) <doi:10.31234/osf.io/uwfjc>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/bsiepe/tsnet
BugReports: https://github.com/bsiepe/tsnet/issues
RoxygenNote: 7.3.1
Imports: cowplot, dplyr, ggdist, ggokabeito, ggplot2, methods,
        posterior, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlang,
        rstan (>= 2.18.1), rstantools (>= 2.3.1.1), stats, tidyr, utils
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 3.4.0)
Biarch: true
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)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-02-27 07:01:04 UTC; Bjoern
Author: Björn S. Siepe [aut, cre, cph]
    (<https://orcid.org/0000-0002-9558-4648>),
  Matthias Kloft [aut] (<https://orcid.org/0000-0003-1845-6957>),
  Daniel W. Heck [ctb] (<https://orcid.org/0000-0002-6302-9252>)
Repository: CRAN
Date/Publication: 2024-02-28 11:30:02 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-02-28 16:40:43 UTC; unix
Archs: tsnet.so.dSYM
