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: | 1.1.2 |
Imports: | Rcpp (≥ 0.12.5), assertthat, checkmate, ggplot2, ggrepel, stats |
LinkingTo: | Rcpp, RcppProgress |
Suggests: | testthat, knitr, rmarkdown, pander, igraph, utils |
Published: | 2017-12-01 |
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 |
Reference manual: | NetworkInference.pdf |
Vignettes: |
NetworkInference: Inferring Latent Diffusion Networks |
Package source: | NetworkInference_1.1.2.tar.gz |
Windows binaries: | r-devel: NetworkInference_1.1.2.zip, r-release: NetworkInference_1.1.2.zip, r-oldrel: NetworkInference_1.1.2.zip |
OS X El Capitan binaries: | r-release: NetworkInference_1.1.2.tgz |
OS X Mavericks binaries: | r-oldrel: NetworkInference_1.1.2.tgz |
Old sources: | NetworkInference archive |
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