Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) ; Valente (1995) , Myers (2000) , Iyengar and others (2011) , Burt (1987) ; among others.

Maintainer: George Vega Yon <g.vegayon at gmail.com>

Author(s): George Vega Yon* (Rewrite functions with Rcpp, plus new features), Stephanie Dyal* (Package's first version), Timothy Hayes* (Package's first version), Thomas Valente* (R original code)

Install package and any missing dependencies by running this line in your R console:

install.packages("netdiffuseR")

Depends R (>= 3.1.1)
Imports Rcpp(>=0.12.1), sna, network, networkDynamic, Matrix, MASS, MatchIt, SparseM, methods, grDevices, graphics, stats, utils, boot, igraph
Suggests covr, testthat, knitr, ape, RSiena, survival
Enhances
Linking to Rcpp, RcppArmadillo
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Package netdiffuseR
Materials
URL https://github.com/USCCANA/netdiffuseR
Task Views
Version 1.18.1
Published 2017-07-23
License MIT + file LICENSE
BugReports https://github.com/USCCANA/netdiffuseR/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks netdiffuseR check results
Package source netdiffuseR_1.18.1.tar.gz