vrnmf
Volume-Regularized Structured Matrix Factorization
Implements a set of routines to perform structured matrix factorization with minimum volume constraints. The NMF procedure decomposes a matrix X into a product C * D. Given conditions such that the matrix C is non-negative and has sufficiently spread columns, then volume minimization of a matrix D delivers a correct and unique, up to a scale and permutation, solution (C, D). This package provides both an implementation of volume-regularized NMF and "anchor-free" NMF, whereby the standard NMF problem is reformulated in the covariance domain. This algorithm was applied in Vladimir B. Seplyarskiy Ruslan A. Soldatov, et al. "Population sequencing data reveal a compendium of mutational processes in the human germ line". Science, 12 Aug 2021. <doi:10.1126/science.aba7408>. This package interacts with data available through the 'simulatedNMF' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/vrnmf>. The size of the 'simulatedNMF' package is approximately 8 MB.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling linux/jammy R-4.5 | vrnmf_1.0.2.tar.gz |
91.3 KiB |
1.0.2 |
rolling linux/noble R-4.5 | vrnmf_1.0.2.tar.gz |
91.2 KiB |
1.0.2 |
rolling source/ R- | vrnmf_1.0.2.tar.gz |
20.4 KiB |
1.0.2 |
latest linux/jammy R-4.5 | vrnmf_1.0.2.tar.gz |
91.3 KiB |
1.0.2 |
latest linux/noble R-4.5 | vrnmf_1.0.2.tar.gz |
91.2 KiB |
1.0.2 |
latest source/ R- | vrnmf_1.0.2.tar.gz |
20.4 KiB |
1.0.2 |
2026-04-26 source/ R- | vrnmf_1.0.2.tar.gz |
20.4 KiB |
1.0.2 |
2026-04-23 source/ R- | vrnmf_1.0.2.tar.gz |
20.4 KiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | vrnmf_1.0.2.zip |
93.5 KiB |
1.0.2 |
2025-04-20 source/ R- | vrnmf_1.0.2.tar.gz |
20.4 KiB |