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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: 1.2.4
Imports: Rcpp (≥ 0.12.5), assertthat, checkmate, ggplot2, ggrepel, stats
LinkingTo: Rcpp, RcppProgress
Suggests: testthat, knitr, rmarkdown, pander, igraph, utils, dplyr
Published: 2019-02-28
DOI: 10.32614/CRAN.package.NetworkInference
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

Documentation:

Reference manual: NetworkInference.pdf
Vignettes: NetworkInference: Quick Start Guide
NetworkInference Tutorial: Persistent Policy Diffusion Ties

Downloads:

Package source: NetworkInference_1.2.4.tar.gz
Windows binaries: r-devel: NetworkInference_1.2.4.zip, r-release: NetworkInference_1.2.4.zip, r-oldrel: NetworkInference_1.2.4.zip
macOS binaries: r-release (arm64): NetworkInference_1.2.4.tgz, r-oldrel (arm64): NetworkInference_1.2.4.tgz, r-release (x86_64): NetworkInference_1.2.4.tgz, r-oldrel (x86_64): NetworkInference_1.2.4.tgz
Old sources: NetworkInference archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NetworkInference to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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