mize: Unconstrained Numerical Optimization Algorithms

Optimization algorithms implemented in R, including conjugate gradient (CG), Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS) methods. Most internal parameters can be set through the call interface. The solvers hold up quite well for higher-dimensional problems.

Version: 0.2.4
Imports: methods
Suggests: testthat, knitr, rmarkdown, covr
Published: 2020-08-30
DOI: 10.32614/CRAN.package.mize
Author: James Melville [aut, cre]
Maintainer: James Melville <jlmelville at gmail.com>
BugReports: https://github.com/jlmelville/mize/issues
License: BSD 2-clause License + file LICENSE
URL: https://github.com/jlmelville/mize
NeedsCompilation: no
Materials: NEWS
In views: Optimization
CRAN checks: mize results


Reference manual: mize.pdf
Vignettes: Convergence
Metric MDS
Stateful Optimization


Package source: mize_0.2.4.tar.gz
Windows binaries: r-devel: mize_0.2.4.zip, r-release: mize_0.2.4.zip, r-oldrel: mize_0.2.4.zip
macOS binaries: r-release (arm64): mize_0.2.4.tgz, r-oldrel (arm64): mize_0.2.4.tgz, r-release (x86_64): mize_0.2.4.tgz, r-oldrel (x86_64): mize_0.2.4.tgz
Old sources: mize archive

Reverse dependencies:

Reverse imports: CondIndTests, ctsem


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