diffusr: Network Diffusion Algorithms

Implementation of network diffusion algorithms such as heat diffusion or Markov random walks. Network diffusion algorithms generally spread information in the form of node weights along the edges of a graph to other nodes. These weights can for example be interpreted as temperature, an initial amount of water, the activation of neurons in the brain, or the location of a random surfer in the internet. The information (node weights) is iteratively propagated to other nodes until a equilibrium state or stop criterion occurs.

Version: 0.1.4
Depends: R (≥ 3.4)
Imports: Rcpp, igraph, methods
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat, lintr, Matrix
Published: 2018-05-17
Author: Simon Dirmeier [aut, cre]
Maintainer: Simon Dirmeier <simon.dirmeier at gmx.de>
BugReports: https://github.com/dirmeier/diffusr/issues
License: GPL (≥ 3)
URL: https://github.com/dirmeier/diffusr
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
CRAN checks: diffusr results


Reference manual: diffusr.pdf
Vignettes: The diffusr tutorial


Package source: diffusr_0.1.4.tar.gz
Windows binaries: r-devel: diffusr_0.1.4.zip, r-release: diffusr_0.1.4.zip, r-oldrel: diffusr_0.1.4.zip
macOS binaries: r-release (arm64): diffusr_0.1.4.tgz, r-oldrel (arm64): diffusr_0.1.4.tgz, r-release (x86_64): diffusr_0.1.4.tgz, r-oldrel (x86_64): diffusr_0.1.4.tgz
Old sources: diffusr archive


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