Estimates within and between time point interactions in experience sampling data, using the Graphical vector autoregression model in combination with regularization. See also Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.
| Version: | 0.2.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp (≥ 0.11.3), Matrix, glasso, glmnet, mvtnorm, qgraph (≥ 1.3.1), dplyr, methods, igraph |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-06-16 |
| Author: | Sacha Epskamp |
| Maintainer: | Sacha Epskamp <mail at sachaepskamp.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | TimeSeries |
| CRAN checks: | graphicalVAR results |
| Reference manual: | graphicalVAR.pdf |
| Package source: | graphicalVAR_0.2.2.tar.gz |
| Windows binaries: | r-devel: graphicalVAR_0.2.2.zip, r-release: graphicalVAR_0.2.2.zip, r-oldrel: graphicalVAR_0.2.2.zip |
| OS X binaries: | r-release: graphicalVAR_0.2.2.tgz, r-oldrel: graphicalVAR_0.2.2.tgz |
| Old sources: | graphicalVAR archive |
| Reverse imports: | bootnet, mlVAR, psychNET |
| Reverse suggests: | psychonetrics |
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