Package: limSolve 1.5.7.1

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.

Authors:Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb], Richard J. Hanson [ctb], Jack Dongarra [ctb], Cleve Moler [ctb]

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# Install 'limSolve' in R:
install.packages('limSolve', repos = c('https://karlines.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • Blending - A linear inverse blending problem
  • Chemtax - An overdetermined linear inverse problem: estimating algal composition based on pigment biomarkers.
  • E_coli - An underdetermined linear inverse problem: the Escherichia Coli Core Metabolism Model.
  • Minkdiet - An underdetermined linear inverse problem: estimating diet composition of Southeast Alaskan Mink.
  • RigaWeb - An underdetermined linear inverse problem: the Gulf of Riga *spring* planktonic food web

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7.88 score 4 stars 50 packages 158 scripts 4.0k downloads 16 mentions 14 exports 3 dependencies

Last updated 10 months agofrom:59858db945. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-win-x86_64OKNov 11 2024
R-4.5-linux-x86_64OKNov 11 2024
R-4.4-win-x86_64OKNov 11 2024
R-4.4-mac-x86_64OKNov 11 2024
R-4.4-mac-aarch64OKNov 11 2024
R-4.3-win-x86_64OKNov 11 2024
R-4.3-mac-x86_64OKNov 11 2024
R-4.3-mac-aarch64OKNov 11 2024

Exports:ldeildplinplseinnlsresolutionSolveSolve.bandedSolve.blockSolve.tridiagvarrangesvarsamplexrangesxsample

Dependencies:lpSolveMASSquadprog

Sampling Linear Inverse Models in R

Rendered fromxsample.Rnwusingutils::Sweaveon Nov 11 2024.

Last update: 2014-11-01
Started: 2014-11-01

Solving Linear Inverse Models in R

Rendered fromlimSolve.Rnwusingutils::Sweaveon Nov 11 2024.

Last update: 2014-11-01
Started: 2014-11-01