minqa: Derivative-Free Optimization Algorithms by Quadratic Approximation

Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.

Version: 1.2.6
Imports: Rcpp (≥ 0.9.10)
LinkingTo: Rcpp
Published: 2023-09-11
Author: Douglas Bates, Katharine M. Mullen, John C. Nash, Ravi Varadhan
Maintainer: Katharine M. Mullen <katharine.mullen at stat.ucla.edu>
License: GPL-2
URL: http://optimizer.r-forge.r-project.org
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: ChangeLog
In views: Optimization
CRAN checks: minqa results

Documentation:

Reference manual: minqa.pdf

Downloads:

Package source: minqa_1.2.6.tar.gz
Windows binaries: r-devel: minqa_1.2.6.zip, r-release: minqa_1.2.6.zip, r-oldrel: minqa_1.2.6.zip
macOS binaries: r-release (arm64): minqa_1.2.6.tgz, r-oldrel (arm64): minqa_1.2.6.tgz, r-release (x86_64): minqa_1.2.6.tgz
Old sources: minqa archive

Reverse dependencies:

Reverse depends: EBcoexpress, geospt, mvord
Reverse imports: calibrar, cops, cplm, dynConfiR, FME, geosptdb, glmmLasso, GMMBoost, gnomonicM, lme4, nlmixr2est, palm, pda, pspatreg, Rnmr1D, simecol, smacofx, sobolnp, spaMM, spsur, survey, svylme, wCorr, WeMix
Reverse suggests: actuaRE, blackbox, cxr, dcanr, diversitree, fdapace, icsw, mapbayr, metafor, msm, optimx, rminqa, ROI.plugin.optimx, sirt, trouBBlme4SolveR

Linking:

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