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tsnet  

Fitting, Comparing, and Visualizing Networks Based on Time Series Data
View on CRAN: Click here


Download and install tsnet package within the R console
Install from CRAN:
install.packages("tsnet")

Install from Github:
library("remotes")
install_github("cran/tsnet")

Install by package version:
library("remotes")
install_version("tsnet", "0.1.0")



Attach the package and use:
library("tsnet")
Maintained by
Björn S. Siepe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-28
Latest Update: 2024-02-28
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>.
How to cite:
Björn S. Siepe (2024). tsnet: Fitting, Comparing, and Visualizing Networks Based on Time Series Data. R package version 0.1.0, https://cran.r-project.org/web/packages/tsnet. Accessed 03 Jan. 2025.
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