NetworkInference: Inferring Latent Diffusion Networks

This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010)<doi:10.1145/1835804.1835933>. Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.

Version: 1.1.0
Imports: Rcpp (≥ 0.12.5), assertthat, checkmate, ggplot2, ggrepel, stats
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, pander, igraph, utils
Published: 2017-06-06
Author: Fridolin Linder [aut, cre], Bruce Desmarais [ctb]
Maintainer: Fridolin Linder <fridolin.linder at gmail.com>
BugReports: https://github.com/desmarais-lab/NetworkInference/issues
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: C++11
Citation: NetworkInference citation info
Materials: NEWS
CRAN checks: NetworkInference results

Downloads:

Reference manual: NetworkInference.pdf
Vignettes: NetworkInference: Inferring Latent Diffusion Networks
Package source: NetworkInference_1.1.0.tar.gz
Windows binaries: r-devel: NetworkInference_1.1.0.zip, r-release: NetworkInference_1.1.0.zip, r-oldrel: NetworkInference_1.1.0.zip
OS X El Capitan binaries: r-release: NetworkInference_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: NetworkInference_1.1.0.tgz
Old sources: NetworkInference archive

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