ao: Alternating Optimization (original) (raw)
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 |
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