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:	1.2.5
Imports:	Rcpp (≥ 0.9.10)
LinkingTo:	Rcpp
Published:	2022-10-19
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_1.2.5.tar.gz
Windows binaries:	r-devel: minqa_1.2.5.zip, r-release: minqa_1.2.5.zip, r-oldrel: minqa_1.2.5.zip
macOS binaries:	r-release (arm64): minqa_1.2.5.tgz, r-oldrel (arm64): minqa_1.2.5.tgz, r-release (x86_64): minqa_1.2.5.tgz, r-oldrel (x86_64): minqa_1.2.5.tgz
Old sources:	minqa archive

Reverse dependencies:

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

Linking:

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