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RcppPlanc  

Parallel Low-Rank Approximation with Nonnegativity Constraints
View on CRAN: Click here


Download and install RcppPlanc package within the R console
Install from CRAN:
install.packages("RcppPlanc")

Install from Github:
library("remotes")
install_github("cran/RcppPlanc")

Install by package version:
library("remotes")
install_version("RcppPlanc", "2.0.13")



Attach the package and use:
library("RcppPlanc")
Maintained by
Andrew Robbins
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-25
Latest Update: 2025-07-14
Description:
'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>.
How to cite:
Andrew Robbins (2025). RcppPlanc: Parallel Low-Rank Approximation with Nonnegativity Constraints. R package version 2.0.13, https://cran.r-project.org/web/packages/RcppPlanc. Accessed 06 Mar. 2026.
Previous versions and publish date:
2.0.0 (2025-03-25 16:50), 2.0.3 (2025-04-07 14:30), 2.0.4 (2025-04-15 00:40), 2.0.5 (2025-04-23 17:50), 2.0.6 (2025-05-08 12:40), 2.0.7 (2025-05-13 08:20), 2.0.8 (2025-05-17 01:50), 2.0.9 (2025-05-19 15:40), 2.0.10 (2025-05-21 00:10), 2.0.11 (2025-05-23 22:32), 2.0.12 (2025-05-29 21:50), 2.0.13 (2025-07-15 00:40), 2.0.14 (2026-02-24 07:10)
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Complete documentation for RcppPlanc
Functions, R codes and Examples using the RcppPlanc R package
Full RcppPlanc package functions and examples
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