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finbipartite  

Learning Bipartite Graphs: Heavy Tails and Multiple Components
View on CRAN: Click here


Download and install finbipartite package within the R console
Install from CRAN:
install.packages("finbipartite")

Install from Github:
library("remotes")
install_github("cran/finbipartite")

Install by package version:
library("remotes")
install_version("finbipartite", "0.1.0")



Attach the package and use:
library("finbipartite")
Maintained by
Ze Vinicius
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-22
Latest Update: 2023-02-22
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). "Learning bipartite graphs: heavy tails and multiple components, Advances in Neural Informations Processing Systems" (NeurIPS).
How to cite:
Ze Vinicius (2023). finbipartite: Learning Bipartite Graphs: Heavy Tails and Multiple Components. R package version 0.1.0, https://cran.r-project.org/web/packages/finbipartite. Accessed 03 Apr. 2025.
Previous versions and publish date:
0.1.0 (2023-02-22 15:40)
Other packages that cited finbipartite R package
View finbipartite citation profile
Other R packages that finbipartite depends, imports, suggests or enhances
Complete documentation for finbipartite
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