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limSolve: Solving Linear Inverse Models

Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems.

Version: 1.5.7.1
Depends: R (≥ 2.10)
Imports: quadprog, lpSolve, MASS
Published: 2024-02-05
Author: Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb] (file inverse.f), Richard J. Hanson [ctb] (file inverse.f), Jack Dongarra [ctb] (files solve.f, inverse.f), Cleve Moler [ctb] (file solve.f)
Maintainer: Karline Soetaert <karline.soetaert at nioz.nl>
License: GPL-2 | GPL-3 [expanded from: GPL]
Copyright: inst/COPYRIGHTS
limSolve copyright details
NeedsCompilation: yes
Citation: limSolve citation info
Materials: ChangeLog
In views: Optimization
CRAN checks: limSolve results

Documentation:

Reference manual: limSolve.pdf
Vignettes: Solving Linear Inverse Models in R
Sampling Linear Inverse Models in R

Downloads:

Package source: limSolve_1.5.7.1.tar.gz
Windows binaries: r-devel: limSolve_1.5.7.1.zip, r-release: limSolve_1.5.7.1.zip, r-oldrel: limSolve_1.5.7.1.zip
macOS binaries: r-release (arm64): limSolve_1.5.7.1.tgz, r-oldrel (arm64): limSolve_1.5.7.1.tgz, r-release (x86_64): limSolve_1.5.7.1.tgz, r-oldrel (x86_64): limSolve_1.5.7.1.tgz
Old sources: limSolve archive

Reverse dependencies:

Reverse depends: DeconRNASeq, LIM, MLCIRTwithin, MultiLCIRT, ragtop, treedater
Reverse imports: baseline, BiGGR, BisqueRNA, ccrs, cds, cgaim, cta, EAinference, EMMAgeo, evclust, FastSF, FindIt, fuzzyreg, geospt, geosptdb, gorica, granulator, GRIDCOPULA, hgutils, IntegratedMRF, InteRD, MPTmultiverse, mrf, PACLasso, quantiseqr, scMappR, ScorePlus, TRMF, YAPSA
Reverse suggests: nlsic, Rquefts, splatter

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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