nnls: The Lawson-Hanson algorithm for non-negative least squares (NNLS)

An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.

Version: 1.4
Published: 2012-03-19
Author: Katharine M. Mullen and Ivo H. M. van Stokkum
Maintainer: Katharine Mullen <mullenkate at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
In views: ChemPhys, Optimization
CRAN checks: nnls results


Reference manual: nnls.pdf


Package source: nnls_1.4.tar.gz
Windows binaries: r-devel: nnls_1.4.zip, r-devel-UCRT: nnls_1.4.zip, r-release: nnls_1.4.zip, r-oldrel: nnls_1.4.zip
macOS binaries: r-release (arm64): nnls_1.4.tgz, r-release (x86_64): nnls_1.4.tgz, r-oldrel: nnls_1.4.tgz
Old sources: nnls archive

Reverse dependencies:

Reverse depends: ALS, archetypes, simest, SuperLearner, TOAST
Reverse imports: accucor, adamethods, ADAPTS, alphastable, Anthropometry, bnpsd, Cascade, CATALYST, debCAM, deconvR, drpop, erah, EventPointer, FARDEEP, GeoFIS, granulator, hNMF, hybridEnsemble, isotone, lmtp, mboost, miscIC, nmathresh, osd, Patterns, poolfstat, powdR, randnet, rcosmo, rNMF, rrcov3way, smacof, SparseSignatures, spectralAnalysis, studyStrap, TIMP, UNDO, vrnmf, zetadiv
Reverse suggests: cSEM, CVXR, ltmle, riskRegression, sigminer


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