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: 1.2.4
Imports: Rcpp (≥ 0.9.10)
LinkingTo: Rcpp
Published: 2014-10-09
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

Downloads:

Reference manual: minqa.pdf
Package source: minqa_1.2.4.tar.gz
Windows binaries: r-devel: minqa_1.2.4.zip, r-release: minqa_1.2.4.zip, r-oldrel: minqa_1.2.4.zip
macOS binaries: r-release: minqa_1.2.4.tgz, r-oldrel: minqa_1.2.4.tgz
Old sources: minqa archive

Reverse dependencies:

Reverse depends: EBcoexpress, geospt, mvord
Reverse imports: cops, cplm, FME, geosptdb, glmmLasso, GMMBoost, GxM, jmdl, lme4, palm, pmpp, simecol, sobolnp, spaMM, spsur, survey, VARsignR, wCorr, WeMix
Reverse suggests: blackbox, dcanr, diversitree, fdapace, icsw, metafor, msm, nlmixr, optimx, RandomFields, ROI.plugin.optimx

Linking:

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