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Package: netdiffuseR
Title: Network Analysis for Diffusion of Innovations
Version: 1.16.5
Date: 2016-05-02
Authors@R: c(
person("George", "Vega Yon", email="g.vegayon@gmail.com", role=c("aut", "cre"), comment="Rewrite functions with Rcpp, plus new features"),
person("Stephanie", "Dyal", email="stepharp@usc.edu", role=c("aut"), comment="Package's first version"),
person("Timothy", "Hayes", email="timothybhayes@gmail.com", role=c("aut"), comment="Package's first version"),
person("Thomas", "Valente", email="tvalente@usc.edu", role=c("aut", "cph"), comment="R original code"))
Description: 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.
Depends:
R (>= 3.1.1)
License: MIT + file LICENSE
LazyData: true
Imports:
Rcpp (>= 0.12.1),
sna,
Matrix,
SparseM,
methods,
grDevices,
graphics,
stats,
utils,
boot,
igraph
Suggests:
covr,
testthat,
knitr,
ape,
RSiena,
survival
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
Encoding: UTF-8
URL: https://github.com/USCCANA/netdiffuseR
BugReports: https://github.com/USCCANA/netdiffuseR/issues
Classification/MSC: 90C35, 90B18, 91D30
Collate:
'RcppExports.R'
'imports.R'
'graph_data.R'
'adjmat.R'
'data.R'
'diffnet-c.R'
'diffnet-class.R'
'diffnet-indexing.R'
'diffnet-methods.R'
'egonets.R'
'igraph.R'
'infect_suscept.R'
'misc.R'
'moran.R'
'options.R'
'package-doc.R'
'rewire.R'
'random_graph.R'
'rdiffnet.R'
'read_write_foreign.R'
'select_egoalter.R'
'stats.R'
'struct_equiv.R'
'struct_test.R'
'survey_to_diffnet.R'