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.
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 |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=nnls
to link to this page.