cranhaven
. See also theR-universe documentation.Package: fingraph 0.1.0
fingraph: Learning Graphs for Financial Markets
Learning graphs for financial markets with optimization algorithms. This package contains implementations of the algorithms described in the paper: Cardoso JVM, Ying J, and Palomar DP (2021) <https://papers.nips.cc/paper/2021/hash/a64a034c3cb8eac64eb46ea474902797-Abstract.html> "Learning graphs in heavy-tailed markets", Advances in Neural Informations Processing Systems (NeurIPS).
Authors:
fingraph_0.1.0.tar.gz
fingraph_0.1.0.zip(r-4.5)fingraph_0.1.0.zip(r-4.4)fingraph_0.1.0.zip(r-4.3)
fingraph_0.1.0.tgz(r-4.5-any)fingraph_0.1.0.tgz(r-4.4-any)fingraph_0.1.0.tgz(r-4.3-any)
fingraph_0.1.0.tar.gz(r-4.5-noble)fingraph_0.1.0.tar.gz(r-4.4-noble)
fingraph_0.1.0.tgz(r-4.4-emscripten)
fingraph.pdf |fingraph.html✨
fingraph/json (API)
# Install 'fingraph' in R: |
install.packages('fingraph', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/convexfi/fingraph/issues
Last updated 14 days agofrom:70bb222f45 (on package/fingraph). Checks:1 OK, 7 NOTE. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 01 2025 |
R-4.5-win | NOTE | Mar 01 2025 |
R-4.5-mac | NOTE | Mar 01 2025 |
R-4.5-linux | NOTE | Mar 01 2025 |
R-4.4-win | NOTE | Mar 01 2025 |
R-4.4-mac | NOTE | Mar 01 2025 |
R-4.3-win | NOTE | Mar 01 2025 |
R-4.3-mac | NOTE | Mar 01 2025 |
Exports:learn_connected_graphlearn_kcomp_heavytail_graphlearn_regular_heavytail_graph
Dependencies:clicrayondata.tablegluehmsjsonlitelatticelifecycleMASSMatrixmvtnormpkgconfigprettyunitsprogressR6RcppRcppArmadilloRcppEigenrlangrlistspectralGraphTopologyvctrsXMLyaml