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
OS X Snow Leopard binaries: r-release: minqa_1.2.4.tgz, r-oldrel: minqa_1.2.4.tgz
OS X Mavericks binaries: r-release: minqa_1.2.4.tgz
Old sources: minqa archive

Reverse dependencies:

Reverse imports: cplm, glmmLasso, GMMBoost, GxM, lme4
Reverse suggests: diversitree, metafor, msm, optimx, SPOT