nnls: The Lawson-Hanson Algorithm for Non-Negative Least Squares (NNLS) (original) (raw)

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: 1.5
Suggests: bvls, quadprog
Published: 2023-09-11
DOI: 10.32614/CRAN.package.nnls
Author: Katharine M. Mullen and Ivo H. M. van Stokkum
Maintainer: Katharine Mullen
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file
NeedsCompilation: yes
Materials:
In views: ChemPhys, Optimization
CRAN checks: nnls results [issues need fixing before 2024-11-04]

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: ALS, archetypes, ISLET, Libra, nlsic, simest, SuperLearner, TOAST
Reverse imports: accucor, adamethods, ADAPTS, alphastable, Anthropometry, bnpsd, Cascade, CATALYST, cytomapper, ddml, debCAM, deconvR, drpop, EventPointer, FARDEEP, GeoFIS, granulator, hNMF, isotone, lmtp, mboost, MICSQTL, miscIC, nmathresh, osd, Patterns, poolfstat, powdR, randnet, RESOLVE, rrcov3way, smacof, SpaCCI, SparseSignatures, spectralAnalysis, SPOTlight, stepSplitReg, studyStrap, TIMP, UNDO, vrnmf, zetadiv
Reverse suggests: cSEM, CVXR, ecpc, flowml, ltmle, lute, riskRegression, SCdeconR, sigminer, txshift

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