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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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ao
to link to this page.
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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