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")
  )
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
NeedsCompilation: no
Packaged: 2023-02-21 03:43:22 UTC; mirca
Author: Ze Vinicius [cre, aut]
Maintainer: Ze Vinicius <jvmirca@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-22 14:40:06 UTC
Built: R 4.1.2; ; 2023-02-23 12:15:32 UTC; unix
