Implementations of various control theory methods for use
in brain and psychological networks. Contains controllability
statistics from Pasqualetti, Zampieri & Bullo (2014) <doi:10.1109/TCNS.2014.2310254>,
optimal control algorithms from Lewis, Vrabie & Syrmos (2012, ISBN:978-0-470-63349-6), and various utilities.
Rcpp (>= 1.0.1), Rdpack, Matrix, MASS, pracma, expm

c(person("Youjin", "Lee", role = c("aut", "cre"),
email = "ylee160@jhu.edu"),
person("Elizabeth", "Ogburn", role="aut",
email="eogburn@jhu.edu"))
When network dependence is present, that is when social relations can engender dependence in the outcome of interest, treating such observations as independent results in invalid, anti-conservative statistical inference. We propose a test of independence among observations sampled from a single network <arXiv:1710.03296>.
Youjin Lee [aut, cre],
Elizabeth Ogburn [aut]

Network Analysis for Diffusion of Innovations
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("Tim", "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"))
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.
Rcpp (>= 0.12.1), sna, Matrix, SparseM, methods, grDevices,
graphics, stats, utils, boot
testthat, knitr, ape, RSiena, igraph, survival
'RcppExports.R' 'imports.R' 'graph_data.R' 'adjmat.R' 'data.R'
'diffnet-class.R' 'diffnet-methods.R' 'egonets.R'
'infect_suscept.R' 'misc.R' 'moran.R' 'options.R'
'package-doc.R' 'random_graph.R' 'rdiffnet.R'
'select_egoalter.R' 'stats.R' 'struct_equiv.R' 'struct_test.R'
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)