mlVAR: Multi-Level Vector Autoregression

Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.

Version: 0.5
Depends: R (≥ 3.3.0)
Imports: lme4, arm, qgraph, dplyr (≥ 0.5.0), clusterGeneration, mvtnorm, corpcor, plyr, abind, methods, parallel, MplusAutomation, graphicalVAR, rlang
Published: 2021-10-25
Author: Sacha Epskamp [aut, cre], Marie K. Deserno [aut], Laura F. Bringmann [aut], Myrthe Veenman [ctb]
Maintainer: Sacha Epskamp <mail at sachaepskamp.com>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Materials: NEWS
In views: Psychometrics, TimeSeries
CRAN checks: mlVAR results

Documentation:

Reference manual: mlVAR.pdf

Downloads:

Package source: mlVAR_0.5.tar.gz
Windows binaries: r-devel: mlVAR_0.5.zip, r-release: mlVAR_0.5.zip, r-oldrel: mlVAR_0.5.zip
macOS binaries: r-release (arm64): mlVAR_0.5.tgz, r-oldrel (arm64): mlVAR_0.5.tgz, r-release (x86_64): mlVAR_0.5.tgz, r-oldrel (x86_64): mlVAR_0.5.tgz
Old sources: mlVAR archive

Reverse dependencies:

Reverse imports: funtimes

Linking:

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