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ucminf: General-Purpose Unconstrained Non-Linear Optimization

An algorithm for general-purpose unconstrained non-linear optimization. The algorithm is of quasi-Newton type with BFGS updating of the inverse Hessian and soft line search with a trust region type monitoring of the input to the line search algorithm. The interface of 'ucminf' is designed for easy interchange with 'optim'.

Version: 1.2.1
Depends: R (≥ 3.5.0)
Suggests: numDeriv
Published: 2023-12-13
Author: K Hervé Dakpo [ctb, cre], Hans Bruun Nielsen [aut], Stig Bousgaard Mortensen [aut]
Maintainer: K Hervé Dakpo <k-herve.dakpo at inrae.fr>
BugReports: https://github.com/hdakpo/ucminf/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/hdakpo/ucminf
NeedsCompilation: yes
Materials: README NEWS
In views: Optimization
CRAN checks: ucminf results

Documentation:

Reference manual: ucminf.pdf

Downloads:

Package source: ucminf_1.2.1.tar.gz
Windows binaries: r-devel: ucminf_1.2.1.zip, r-release: ucminf_1.2.1.zip, r-oldrel: ucminf_1.2.1.zip
macOS binaries: r-release (arm64): ucminf_1.2.1.tgz, r-oldrel (arm64): ucminf_1.2.1.tgz, r-release (x86_64): ucminf_1.2.1.tgz, r-oldrel (x86_64): ucminf_1.2.1.tgz
Old sources: ucminf archive

Reverse dependencies:

Reverse depends: Benchmarking, mvord, orloca
Reverse imports: ei, eicm, misclassGLM, MixSemiRob, optimg, optimizeR, ordgam, ordinal, phenofit, sfaR, SPreg
Reverse suggests: apsimx, cxr, metafor, mets, optimx, projpred, ROI.plugin.optimx

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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