Package: finbipartite 0.1.0

Ze Vinicius

finbipartite: Learning Bipartite Graphs: Heavy Tails and Multiple Components

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:Ze Vinicius [cre, aut]

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Bug tracker:https://github.com/convexfi/bipartite/issues

On CRAN:

4 exports 3 stars 0.93 score 34 dependencies 11 scripts 236 downloads

Last updated 2 years agofrom:f39c2baac3. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:learn_bipartite_graph_nielearn_connected_bipartite_graph_pgdlearn_heavy_tail_bipartite_graph_pgdlearn_heavy_tail_kcomp_bipartite_graph

Dependencies:bitbit64clarabelclicrayonCVXRdata.tableECOSolveRgluegmphmsjsonlitelatticelifecycleMASSMatrixmvtnormosqppkgconfigprettyunitsprogressquadprogR6RcppRcppArmadilloRcppEigenrlangrlistRmpfrscsspectralGraphTopologyvctrsXMLyaml