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 dysregulations.
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Elisa Salviato, 3 years ago
Browse source code at
Elisa Salviato [aut, cre]
Vera Djordjilovic [aut]
Chiara Romualdi [aut]
Monica Chiogna [aut]
Imports mvtnorm, gRbase, graph, igraph, ggm, qpgraph, R.utils, htmlwidgets, shiny, shinydashboard, grDevices, graphics, stats
Suggests knitr, rmarkdown, clipper, topologyGSA
See at CRAN