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]
(<https://orcid.org/0000-0001-5421-9313>),
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 |