netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks

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) <doi:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <doi:10.1086/303110>, Iyengar and others (2011) <doi:10.1287/mksc.1100.0566>, Burt (1987) <doi:10.1086/228667>; among others.

Version:	1.22.0
Depends:	R (≥ 3.1.1)
Imports:	Rcpp (≥ 0.12.1), sna, network, networkDynamic, Matrix, MASS, MatchIt, SparseM, methods, grDevices, graphics, stats, utils, boot, igraph, viridisLite
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	covr, testthat, knitr, ape, RSiena, survival
Published:	2020-05-07
Author:	George Vega Yon [aut, cre] (Rewrite functions with Rcpp, plus new features), Thomas Valente [aut, cph] (R original code), Stephanie Dyal [ctb] (Package's first version), Timothy Hayes [ctb] (Package's first version)
Maintainer:	George Vega Yon <g.vegayon at gmail.com>
BugReports:	https://github.com/USCCANA/netdiffuseR/issues
License:	MIT + file LICENSE
URL:	https://github.com/USCCANA/netdiffuseR, https://USCCANA.github.io/netdiffuseR
NeedsCompilation:	yes
Classification/MSC:	90C35, 90B18, 91D30
Citation:	netdiffuseR citation info
Materials:	NEWS ChangeLog
CRAN checks:	netdiffuseR results

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