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Alternating least squares is often used to resolve components contributing to data with a bilinear structure; the basic technique may be extended to alternating constrained least squares. Commonly applied constraints include unimodality, non-negativity, and normalization of components. Several data matrices may be decomposed simultaneously by assuming that one of the two matrices in the bilinear decomposition is shared between datasets.
| Version: | 0.0.7 |
| Depends: | nnls (≥ 1.1), Iso, R (≥ 2.10) |
| Published: | 2022-08-25 |
| Author: | Katharine M. Mullen |
| Maintainer: | Katharine Mullen <mullenkate at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | ChemPhys |
| CRAN checks: | ALS results |
| Reference manual: | ALS.pdf |
| Package source: | ALS_0.0.7.tar.gz |
| Windows binaries: | r-devel: ALS_0.0.7.zip, r-release: ALS_0.0.7.zip, r-oldrel: ALS_0.0.7.zip |
| macOS binaries: | r-release (arm64): ALS_0.0.7.tgz, r-oldrel (arm64): ALS_0.0.7.tgz, r-release (x86_64): ALS_0.0.7.tgz, r-oldrel (x86_64): ALS_0.0.7.tgz |
| Old sources: | ALS archive |
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