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Package: netdiffuseR
Title: Analysis of Diffusion and Contagion Processes on Networks
Version: 1.25.0
Authors@R: c(
person("George", "Vega Yon", email="g.vegayon@gmail.com", role=c("aut", "cre"),
comment=c(ORCID = "0000-0002-3171-0844", what="Rewrite functions with Rcpp, plus new features")
),
person("Thomas", "Valente", email="tvalente@usc.edu", role=c("aut", "cph"),
comment=c(ORCID="0000-0002-8824-5816", what="R original code")),
person("Anibal", "Olivera Morales", role = c("aut", "ctb"),
comment=c(ORCID="0009-0000-3736-7939", what="Developer from V1.23.0")),
person("Stephanie", "Dyal", email="stepharp@usc.edu", role=c("ctb"), comment="Package's first version"),
person("Timothy", "Hayes", email="timothybhayes@gmail.com", role=c("ctb"), comment="Package's first version")
)
Description: 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.
Depends:
R (>= 3.5)
License: MIT + file LICENSE
LazyData: true
Imports:
Rcpp (>= 0.12.1),
sna,
network,
networkDynamic,
Matrix,
MASS,
MatchIt,
SparseM,
methods,
grDevices,
graphics,
stats,
utils,
boot,
igraph,
viridisLite
Suggests:
covr,
testthat,
knitr,
rmarkdown,
ape,
RSiena,
survival
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.3
Encoding: UTF-8
URL: https://github.com/USCCANA/netdiffuseR,
https://USCCANA.github.io/netdiffuseR/
BugReports: https://github.com/USCCANA/netdiffuseR/issues
Classification/MSC: 90C35, 90B18, 91D30
Collate:
'RcppExports.R'
'imports.r'
'graph_data.r'
'adjmat.r'
'bass.r'
'bootnet.r'
'citer_environment.R'
'collapse_timeframes.R'
'data.r'
'degree_adoption_diagnostic.R'
'diffnet-c.R'
'diffnet-class.r'
'diffnet-indexing.r'
'diffnet-methods.r'
'egonets.R'
'formula.r'
'igraph.r'
'infect_suscept.r'
'mentor.r'
'misc.r'
'moran.r'
'netmatch.r'
'network.r'
'options.R'
'package-doc.r'
'plot_diffnet2.r'
'rewire.r'
'random_graph.R'
'rdiffnet.r'
'read_write_foreign.r'
'select_egoalter.R'
'spatial.R'
'stats.R'
'struct_equiv.R'
'struct_test.R'
'survey_to_diffnet.R'