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 |
| 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-release: graphsim_0.1.2.zip, r-oldrel: graphsim_0.1.2.zip |
| macOS binaries: | r-release: graphsim_0.1.2.tgz, r-oldrel: graphsim_0.1.2.tgz |
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