Simulate data from a Gaussian graphical model or a Gaussian Bayesian network in two conditions. Given a covariance matrix of a reference condition simulate plausible disregulations.
| Version: | 0.4 |
| Depends: | R (≥ 3.0) |
| Imports: | mvtnorm, gRbase, graph, igraph, ggm, qpgraph, R.utils, htmlwidgets, shiny, shinydashboard , grDevices, graphics |
| Suggests: | knitr, rmarkdown, clipper, topologyGSA |
| Published: | 2019-12-18 |
| Author: | Elisa Salviato [aut, cre], Vera Djordjilovic [aut], Chiara Romualdi [aut], Monica Chiogna [aut] |
| Maintainer: | Elisa Salviato <elisa.salviato.88 at gmail.com> |
| License: | AGPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | simPATHy results |
| Reference manual: | simPATHy.pdf |
| Vignettes: |
simPATHy |
| Package source: | simPATHy_0.4.tar.gz |
| Windows binaries: | r-devel: simPATHy_0.4.zip, r-release: simPATHy_0.4.zip, r-oldrel: simPATHy_0.4.zip |
| macOS binaries: | r-release: not available, r-oldrel: simPATHy_0.4.tgz |
| Old sources: | simPATHy archive |
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