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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 (≥ 2.3.1.1), stats, tidyr, utils |
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) |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-02-28 |
DOI: | 10.32614/CRAN.package.tsnet |
Author: | Björn S. Siepe |
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, r-oldrel (x86_64): tsnet_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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