tsnet: Fitting, Comparing, and Visualizing Networks Based on Time Series Data

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>.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: cowplot, dplyr, ggdist, ggokabeito, ggplot2, methods, posterior, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rlang, rstan (≥ 2.18.1), rstantools (≥, stats, tidyr, utils
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat (≥ 3.0.0)
Published: 2024-02-28
Author: Björn S. Siepe ORCID iD [aut, cre, cph], Matthias Kloft ORCID iD [aut], Daniel W. Heck ORCID iD [ctb]
Maintainer: Björn S. Siepe <bjoernsiepe at gmail.com>
BugReports: https://github.com/bsiepe/tsnet/issues
License: GPL-3
URL: https://github.com/bsiepe/tsnet
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
In views: TimeSeries
CRAN checks: tsnet results


Reference manual: tsnet.pdf


Package source: tsnet_0.1.0.tar.gz
Windows binaries: r-devel: tsnet_0.1.0.zip, r-release: tsnet_0.1.0.zip, r-oldrel: tsnet_0.1.0.zip
macOS binaries: r-release (arm64): tsnet_0.1.0.tgz, r-oldrel (arm64): tsnet_0.1.0.tgz, r-release (x86_64): tsnet_0.1.0.tgz


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