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: |
1.22.6 |
| 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, rmarkdown, ape, RSiena, survival |
| Published: |
2023-08-30 |
| DOI: |
10.32614/CRAN.package.netdiffuseR |
| 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: |
README NEWS ChangeLog |
| CRAN checks: |
netdiffuseR results |