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finbipartite
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]
[Scholar Profile | Author Map]
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
Functions, R codes and Examples using
the finbipartite R package
Some associated functions: learn_bipartite_graph_nie . learn_connected_bipartite_graph_pgd . learn_heavy_tail_bipartite_graph_pgd . learn_heavy_tail_kcomp_bipartite_graph .
Some associated R codes: learn-bipartite-graph-nie.R . learn-gaussian-bipartite-pgd.R . learn-heavy-tail-bipartite-kcomp.R . learn-heavy-tail-bipartite-pgd.R . solve-subproblem-B.R . utils.R . Full finbipartite package functions and examples
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