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.201905006>,
Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and
Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
Version:
2.0.13
Depends:
R (≥ 3.5)
Published:
2025年07月14日
Author:
Andrew Robbins
ORCID iD
[aut, cre],
Yichen Wang [aut],
Joshua Welch
ORCID iD
[cph],
Ramakrishnan Kannan
ORCID iD [cph],
Conrad Sanderson
ORCID iD
[cph],
Blue Brain Project/EPFL [cph] (HighFive Headers),
UT-Batelle [cph] (The original PLANC code)
Maintainer:
Andrew Robbins <robbiand at umich.edu>
NeedsCompilation:
yes
SystemRequirements:
C++17, cmake >= 3.21.0, hdf5, git, patch, gnumake,
hwloc, GNU make
Documentation:
Downloads:
Reverse dependencies:
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