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tsnet

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

v0.2.0 · Jun 19, 2025 · GPL-3

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>.

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installed package size

  installed size is 109.0Mb
  sub-directories of 1Mb or more:
    libs  107.9Mb
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for GNU extensions in Makefiles

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installed package size

  installed size is 111.9Mb
  sub-directories of 1Mb or more:
    libs  110.9Mb
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installed package size

  installed size is  5.4Mb
  sub-directories of 1Mb or more:
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NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is 109.0Mb
  sub-directories of 1Mb or more:
    libs  107.9Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 111.9Mb
  sub-directories of 1Mb or more:
    libs  110.9Mb
NOTE r-oldrel-windows-x86_64

installed package size

  installed size is  5.4Mb
  sub-directories of 1Mb or more:
    libs   4.4Mb

Dependency Network

Dependencies Reverse dependencies cowplot dplyr ggdist ggokabeito ggplot2 loo posterior Rcpp RcppParallel rlang rstan rstantools tidyr tsnet

Version History

new 0.2.0 Mar 9, 2026