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RcppPlanc: Parallel Low-Rank Approximation with Nonnegativity Constraints
'Rcpp' bindings for 'PLANC', a highly parallel and extensible NMF/NTF (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
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Package details |
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| Author | Andrew Robbins [aut, cre] (ORCID: <https://orcid.org/0009-0001-7961-7489>), Yichen Wang [aut], Joshua Welch [cph] (ORCID: <https://orcid.org/0000-0002-5869-2391>), Ramakrishnan Kannan [cph] (ORCID: <https://orcid.org/0000-0002-5852-4806>), Conrad Sanderson [cph] (ORCID: <https://orcid.org/0000-0002-0049-4501>), Blue Brain Project/EPFL [cph] (HighFive Headers), UT-Batelle [cph] (The original PLANC code) |
| Maintainer | Andrew Robbins <robbiand@umich.edu> |
| License | GPL (>= 2) |
| Version | 2.0.13 |
| URL | https://github.com/welch-lab/RcppPlanc/ |
| Package repository | View on CRAN |
| Installation |
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