ao: Alternating Optimization

Alternating optimization is an iterative procedure that optimizes a function by alternately performing restricted optimization over individual parameter subsets. Instead of tackling joint optimization directly, it breaks the problem down into simpler sub-problems. This approach can make optimization feasible when joint optimization is too difficult.

Version: 1.0.0
Depends: R (≥ 4.0.0), optimizeR (≥ 1.1.1)
Imports: checkmate, cli, oeli (≥ 0.5.2), R6, stats, utils
Suggests: ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-06-20
DOI: 10.32614/CRAN.package.ao
Author: Lennart Oelschläger ORCID iD [aut, cre], Siddhartha Chib [ctb]
Maintainer: Lennart Oelschläger <oelschlaeger.lennart at gmail.com>
BugReports: https://github.com/loelschlaeger/ao/issues
License: GPL-3
URL: https://loelschlaeger.de/ao/, https://github.com/loelschlaeger/ao/
NeedsCompilation: no
Materials: README NEWS
In views: Optimization
CRAN checks: ao results

Documentation:

Reference manual: ao.pdf
Vignettes: Alternating optimization

Downloads:

Package source: ao_1.0.0.tar.gz
Windows binaries: r-devel: ao_0.3.3.zip, r-release: ao_0.3.3.zip, r-oldrel: ao_1.0.0.zip
macOS binaries: r-release (arm64): ao_1.0.0.tgz, r-oldrel (arm64): ao_1.0.0.tgz, r-release (x86_64): ao_1.0.0.tgz, r-oldrel (x86_64): ao_1.0.0.tgz
Old sources: ao archive

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