Nothing
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).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ze Vinicius [cre, aut] |
| Maintainer | Ze Vinicius <jvmirca@gmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://github.com/convexfi/bipartite/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the finbipartite package in your browser
Any scripts or data that you put into this service are public.
