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:	1.1.0
Depends:	R (≥ 4.0.0), optimizeR (≥ 1.1.1)
Imports:	checkmate, cli, future.apply, oeli (≥ 0.5.2), progressr, R6, stats, utils
Suggests:	ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-07-13
DOI:	10.32614/CRAN.package.ao
Author:	Lennart Oelschläger [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_1.1.0.tar.gz
Windows binaries:	r-devel: ao_1.1.0.zip, r-release: ao_1.1.0.zip, r-oldrel: ao_1.1.0.zip
macOS binaries:	r-release (arm64): ao_1.1.0.tgz, r-oldrel (arm64): ao_1.1.0.tgz, r-release (x86_64): ao_1.1.0.tgz, r-oldrel (x86_64): ao_1.1.0.tgz
Old sources:	ao archive

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