simPATHy: A Method for Simulating Data from Perturbed Biological Pathways

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. See Salviato et al. (2017) <doi:10.1093/bioinformatics/btw642>.

Version: 0.5
Depends: R (≥ 3.0)
Imports: mvtnorm, gRbase, graph, igraph, ggm, qpgraph, R.utils, htmlwidgets, shiny, shinydashboard , grDevices, graphics
Suggests: knitr, rmarkdown, clipper
Published: 2021-06-01
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

Downloads:

Reference manual: simPATHy.pdf
Vignettes: simPATHy
Package source: simPATHy_0.5.tar.gz
Windows binaries: r-devel: simPATHy_0.5.zip, r-release: simPATHy_0.5.zip, r-oldrel: simPATHy_0.5.zip
macOS binaries: r-release (arm64): not available, r-release (x86_64): not available, r-oldrel: not available
Old sources: simPATHy archive

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