Package: tsnet 0.2.0
Björn S. Siepe
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>.
Authors:
tsnet_0.2.0.tar.gz
tsnet_0.2.0.zip(r-4.7-x86_64)tsnet_0.2.0.zip(r-4.7-arm64)tsnet_0.2.0.zip(r-4.6-x86_64)tsnet_0.2.0.zip(r-4.6-arm64)
tsnet_0.2.0.tar.gz(r-4.7-arm64)tsnet_0.2.0.tar.gz(r-4.7-x86_64)tsnet_0.2.0.tar.gz(r-4.6-arm64)tsnet_0.2.0.tar.gz(r-4.6-x86_64)
tsnet_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tsnet/json (API)
| # Install 'tsnet' in R: |
| install.packages('tsnet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bsiepe/tsnet/issues
Last updated from:f535d6ac4a. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 378 | ||
| linux-devel-x86_64 | OK | 500 | ||
| source / vignettes | OK | 501 | ||
| linux-release-arm64 | OK | 410 | ||
| linux-release-x86_64 | OK | 467 | ||
| windows-devel-arm64 | OK | 546 | ||
| windows-devel-x86_64 | OK | 624 | ||
| windows-release-arm64 | OK | 546 | ||
| windows-release-x86_64 | OK | 591 | ||
| wasm-release | OK | 254 |
Exports:check_eigencompare_gvarget_centralityplot_centralitypost_distance_withinposterior_plotstan_fit_convertstan_gvar
Dependencies:abindbackportsBHcallrcheckmateclicowplotcpp11descdistributionaldplyrfarvergenericsggdistggokabeitoggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpspurrrquadprogQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The 'tsnet' package | tsnet-package tsnet |
| Check Eigenvalues of Bayesian GVAR object | check_eigen |
| Compare two Bayesian GVAR models | compare_gvar |
| Example Posterior Samples | fit_data |
| Compute Centrality Measures | get_centrality |
| Plot Centrality Measures | plot_centrality |
| Plot compare_gvar | plot.compare_gvar |
| Calculates distances between pairs of posterior samples using the posterior samples or posterior predictive draws | post_distance_within |
| posterior_plot | posterior_plot |
| Print method for compare_gvar objects | print.compare_gvar |
| Print method for tsnet_fit objects | print.tsnet_fit |
| Convert Stan Fit to Array of Samples | stan_fit_convert |
| Fit Bayesian Graphical Vector Autoregressive (GVAR) Models with Stan | stan_gvar |
| Simulated Time Series Dataset | ts_data |