rsparse
Statistical Learning on Sparse Matrices
Implements many algorithms for statistical learning on sparse matrices - matrix factorizations, matrix completion, elastic net regressions, factorization machines. Also 'rsparse' enhances 'Matrix' package by providing methods for multithreaded
- Version0.5.2
- R version≥ 3.6.0 methods,
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release06/28/2024
Documentation
Team
Dmitriy Selivanov
Wei-Chen Chen
Show author detailsRolesContributorDavid Cortes
Show author detailsRolesContributorDrew Schmidt
Show author detailsRolesContributor
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- Depends1 package
- Imports6 packages
- Suggests2 packages
- Linking To2 packages
- Reverse Imports3 packages