ALS: Multivariate Curve Resolution Alternating Least Squares (MCR-ALS)

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: 0.0.6
Depends: nnls (≥ 1.1), Iso, R (≥ 2.10)
Published: 2015-08-03
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

Downloads:

Reference manual: ALS.pdf
Package source: ALS_0.0.6.tar.gz
Windows binaries: r-devel: ALS_0.0.6.zip, r-release: ALS_0.0.6.zip, r-oldrel: ALS_0.0.6.zip
macOS binaries: r-release: ALS_0.0.6.tgz, r-oldrel: ALS_0.0.6.tgz
Old sources: ALS archive

Reverse dependencies:

Reverse depends: alsace
Reverse imports: tofsims
Reverse suggests: ChemometricsWithR

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