graphsim: Simulate Expression Data from 'igraph' Networks

Functions to develop simulated continuous data (e.g., gene expression) from a sigma covariance matrix derived from a graph structure in 'igraph' objects. Intended to extend 'mvtnorm' to take 'igraph' structures rather than sigma matrices as input.

Version: 0.1.2
Depends: R (≥ 2.10.0)
Imports: utils, igraph, mvtnorm, Matrix, matrixcalc, graphics
Suggests: knitr, rmarkdown, animation, testthat, gplots, scales, devtools, vdiffr
Published: 2020-03-16
Author: S. Thomas Kelly [ctb], S. Thomas Kelly [aut, cre], Michael A. Black [aut, ths]
Maintainer: S. Thomas Kelly <tom.kelly at riken.jp>
License: GPL-3
NeedsCompilation: no
Language: en-GB
Citation: graphsim citation info
Materials: README NEWS
CRAN checks: graphsim results

Downloads:

Reference manual: graphsim.pdf
Vignettes: Simulating gene expression data from graph structures of biological pathways
Directed Plots in iGraph
plots_viral_quantitate
Simulating convergent graph structure in continuous data
Simulating divergent graph structure in continuous data
Simulating network graph structure in continuous data
Simulating inhibiting network graph structure in continuous data
Simulating reconvergent graph structure in continuous data
Package source: graphsim_0.1.2.tar.gz
Windows binaries: r-devel: graphsim_0.1.2.zip, r-devel-gcc8: graphsim_0.1.2.zip, r-release: graphsim_0.1.2.zip, r-oldrel: graphsim_0.1.2.zip
OS X binaries: r-release: graphsim_0.1.2.tgz, r-oldrel: graphsim_0.1.2.tgz

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