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Tools for checking that the output of an optimization algorithm is indeed at a local mode of the objective function. This is accomplished graphically by calculating all one-dimensional "projection plots" of the objective function, i.e., varying each input variable one at a time with all other elements of the potential solution being fixed. The numerical values in these plots can be readily extracted for the purpose of automated and systematic unit-testing of optimization routines.
| Version: | 1.0 |
| Imports: | stats, graphics |
| Suggests: | testthat, quantreg, mclust, knitr, rmarkdown |
| Published: | 2019-10-09 |
| Author: | Martin Lysy |
| Maintainer: | Martin Lysy <mlysy at uwaterloo.ca> |
| BugReports: | https://github.com/mlysy/optimCheck/issues |
| License: | GPL-3 |
| URL: | https://github.com/mlysy/optimCheck |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | optimCheck results |
| Reference manual: | optimCheck.pdf |
| Vignettes: |
optimCheck: A Quick Tour |
| Package source: | optimCheck_1.0.tar.gz |
| Windows binaries: | r-devel: optimCheck_1.0.zip, r-release: optimCheck_1.0.zip, r-oldrel: optimCheck_1.0.zip |
| macOS binaries: | r-release (arm64): optimCheck_1.0.tgz, r-oldrel (arm64): optimCheck_1.0.tgz, r-release (x86_64): optimCheck_1.0.tgz, r-oldrel (x86_64): optimCheck_1.0.tgz |
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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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