Empirical statistical analysis, visualization and simulation of network models of the diffusion of innovations. 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: | 1.16.2 |
| Depends: | R (≥ 3.1.1) |
| Imports: | Rcpp (≥ 0.12.1), sna, Matrix, SparseM, methods, grDevices, graphics, stats, utils, boot |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, ape, RSiena, igraph, survival |
| Published: | 2016-02-18 |
| Author: | George Vega Yon [aut, cre] (Rewrite functions with Rcpp, plus new features), Stephanie Dyal [aut] (Package's first version), Tim Hayes [aut] (Package's first version), Thomas Valente [aut, cph] (R original code) |
| 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 |
| NeedsCompilation: | yes |
| Classification/MSC: | 90C35, 90B18, 91D30 |
| Citation: | netdiffuseR citation info |
| CRAN checks: | netdiffuseR results |
| Reference manual: | netdiffuseR.pdf |
| Vignettes: |
netdiffuseR showcase: Medical Innovations Simulating diffusion networks: Using the 'rdiffnet' function Time Discounted Infection and Susceptibility |
| Package source: | netdiffuseR_1.16.2.tar.gz |
| Windows binaries: | r-devel: netdiffuseR_1.16.2.zip, r-release: netdiffuseR_1.16.2.zip, r-oldrel: not available |
| OS X Snow Leopard binaries: | r-release: not available, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: netdiffuseR_1.16.2.tgz |