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>.

Version:	2.0.3
Depends:	R (≥ 3.5)
Imports:	methods, Rcpp, Matrix, hdf5r.Extra
LinkingTo:	Rcpp, RcppArmadillo, RcppProgress
Suggests:	knitr, withr, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-04-07
DOI:	10.32614/CRAN.package.RcppPlanc
Author:	Andrew Robbins [aut, cre], Yichen Wang [aut], Joshua Welch [cph], Ramakrishnan Kannan [cph], UT-Batelle [cph] (The original PLANC code)
Maintainer:	Andrew Robbins <robbiand at umich.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
SystemRequirements:	C++17, cmake >= 3.21.0, hdf5, git, v8, patch, gnumake, hwloc, GNU make
Materials:	README NEWS
CRAN checks:	RcppPlanc results [issues need fixing before 2025-05-01]

Documentation:

Reference manual:	RcppPlanc.pdf
Vignettes:	RcppPlanc, Fast NMF and iNMF Implementation with C++ (source, R code)

Downloads:

Package source:	RcppPlanc_2.0.3.tar.gz
Windows binaries:	r-devel: RcppPlanc_2.0.3.zip, r-release: RcppPlanc_2.0.3.zip, r-oldrel: RcppPlanc_2.0.3.zip
macOS binaries:	r-devel (arm64): RcppPlanc_2.0.3.tgz, r-release (arm64): RcppPlanc_2.0.3.tgz, r-oldrel (arm64): RcppPlanc_2.0.3.tgz, r-devel (x86_64): RcppPlanc_2.0.3.tgz, r-release (x86_64): RcppPlanc_2.0.3.tgz, r-oldrel (x86_64): RcppPlanc_2.0.3.tgz
Old sources:	RcppPlanc archive

Reverse dependencies:

Reverse suggests:

rliger

Linking:

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