c(
person(given="Marco", family="Geraci", role=c("aut", "cph", "cre"), email="marco.geraci@uniroma1.it", comment = c(ORCID = "0000-0002-6311-8685")),
person(given="Alessio", family="Farcomeni", role=c("ctb"), email="alessio.farcomeni@uniroma2.it", comment = c("Contributions to midrq code", ORCID = "0000-0002-7104-5826")),
person(given="Cinzia", family="Viroli", role=c("ctb"), email="cinzia.viroli@unibo.it", comment = c("Contributions to dqc code", ORCID = "0000-0002-3278-5266"))
)
utils, glmx, Gmisc, grDevices, graphics, gtools, stats, MASS,
Matrix, np, quantreg, boot, numDeriv (>= 2016.8-1), Rcpp (>=
0.12.13)
Marco Geraci [aut, cph, cre] (<https://orcid.org/0000-0002-6311-8685>),
Alessio Farcomeni [ctb] (Contributions to midrq code,
<https://orcid.org/0000-0002-7104-5826>),
Cinzia Viroli [ctb] (Contributions to dqc code,
<https://orcid.org/0000-0002-3278-5266>)

utils, glmx, grDevices, graphics, gtools, stats, MASS, Matrix,
np, quantreg, boot, numDeriv (>= 2016.8-1), Rcpp (>= 0.12.13)

Quantitative Analysis of Complex Networks. This package
offers a set of topological network measures to analyze complex
Networks structurally.
graph, RBGL, igraph, combinat, Rgraphviz

This package offers a set of topological network measures to
analyze complex Networks structurally.

graph, RBGL, igraph (>= 0.5.5-1), combinat, Rgraphviz

graph, RBGL, igraph (>= 0.5.5-1), combinat, Rgraphviz, Rmpfr

graph, RBGL, igraph (>= 0.5.5-1), combinat, Rmpfr

QuACN: Quantitative Analysis of Complex Networks
Laurin Mueller, Michael Schutte, Karl Kugler, Matthias Dehmer

Karl G. Kugler, Matthias Wieser,  Matthias Dehmer, Michael Schutte, Laurin A.J. Mueller
Quantitative Analysis of Complex Networks. This package offers a set of topological network measures to analyze complex Networks structurally.

Christian Hennig, Cinzia Viroli and Laura Anderlucci
Various quantile-based clustering algorithms: algorithm CU (Common theta and Unscaled variables), algorithm CS (Common theta and Scaled variables through lambda_j), algorithm VU (Variable-wise theta_j and Unscaled variables) and algorithm VW (Variable-wise theta_j and Scaled variables through lambda_j). Hennig, Viroli, Anderlucci (2018) <arXiv:1806.10403v1>.