DESCRIPTION

Package: finbipartite
Title: Learning Bipartite Graphs: Heavy Tails and Multiple Components
Version: 0.1.0
Date: 2023-02-02
Description: Learning bipartite and k-component bipartite graphs from financial
     datasets. This package contains implementations of the algorithms described
     in the paper: Cardoso JVM, Ying J, and Palomar DP (2022).
     <https://openreview.net/pdf?id=WNSyF9qZaMd>
     "Learning bipartite graphs: heavy tails and multiple components,
     Advances in Neural Informations Processing Systems" (NeurIPS).
Authors@R: c(
  person("Ze", "Vinicius", role = c("cre", "aut"), email = "jvmirca@gmail.com"),
  person("Daniel", "Palomar", role = c("cre", "aut"), email = "daniel.p.palomar@gmail.com")
  )
URL: https://github.com/convexfi/bipartite/
BugReports: https://github.com/convexfi/bipartite/issues
License: GPL-3
Encoding: UTF-8
Depends: spectralGraphTopology, quadprog
Imports:
    MASS,
    stats,
    progress,
    mvtnorm,
    CVXR
Suggests:
    testthat,
    igraph,
RoxygenNote: 7.1.1
VignetteBuilder:
    knitr,
    rmarkdown,
    R.rsp