Imports: jointDiag, clue, pcalg, igraph, matrixcalc, reshape2, ggplot2

Suggests: knitr, pander, fields, testthat

Imports: methods, jointDiag, clue, igraph, matrixcalc, reshape2,
Suggests: knitr, pander, fields, testthat, pcalg, rmarkdown

Imports: methods, clue, igraph, matrixcalc, reshape2, ggplot2, mvnmle,

Imports: methods, clue, igraph, matrixcalc, reshape2, ggplot2, MASS

Author: Authors@R: person("Phill", "Clarke", email = "phill@starkingdom.co.uk",
Description: Provides convenience functions for the Backblaze B2 cloud storage
API (see https://www.backblaze.com/b2/docs/). All B2 API calls are mapped
to equivalent R functions. Files can be easily uploaded, downloaded and
deleted from B2, all from within R programs.

Title: Extracts the Backbone from Weighted Graphs
person("Rachel", "Domagalski", email = "domagal9@msu.edu", role = c("aut", "cre")),
person("Zachary", "Neal", email = "zpneal@msu.edu", role = "aut"),
person("Bruce", "Sagan", email = "bsagan@msu.edu", role = "aut"))
Description: Provides methods for extracting from a weighted graph
a binary or signed backbone that retains only the significant edges.
The user may input a weighted graph, or a bipartite graph
from which a weighted graph is first constructed via projection.
Backbone extraction methods include the stochastic degree sequence model (Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>),
the fixed degree sequence model (Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>),
as well as a universal threshold method.
Suggests: knitr, rmarkdown, testthat, igraph

Imports: Matrix, methods, poibin, stats, utils
Suggests: igraph, knitr, rmarkdown, speedglm, testthat

Imports: Matrix, methods, stats, utils, CVXR, igraph, network
Suggests: knitr, rmarkdown, speedglm, testthat

Imports: Matrix, methods, stats, utils, CVXR, igraph, network, Rcpp

Imports: Matrix, methods, stats, utils, igraph, network

Imports: Matrix, methods, stats, utils, igraph, network,

person("Zachary", "Neal", email = "zpneal@msu.edu", role = c("aut", "cre")),
person("Rachel", "Domagalski", email = "domagal9@msu.edu", role = "aut"),
Backbone extraction methods include the stochastic degree sequence model (SDSM; Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>),
the fixed degree sequence model (FDSM; Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>),
the fixed column model (FCM; Neal, Domagalski, and Sagan (2021). <arXiv:2105.13396>),
the fixed fill model (FFM; Neal, Domagalski, and Sagan (2021). <arXiv:2105.13396>),
Packaged: 2021-06-03 17:26:45 UTC; zacharyneal