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A group of sample points are evaluated against a user-defined expression, the sample points are lists of parameters with values that may be substituted into that expression. The genetic algorithm attempts to make the result of the expression as low as possible (usually this would be the sum of residuals squared).
| Version: | 0.5.1 |
| Depends: | R (≥ 3.0.0) |
| Published: | 2016-12-05 |
| Author: | Telford Tendys |
| Maintainer: | Telford Tendys <gafit at lnx-bsp.net> |
| License: | GPL-2 |
| URL: | http://lnx-bsp.net/ |
| NeedsCompilation: | yes |
| In views: | Optimization |
| CRAN checks: | gafit results |
| Reference manual: | gafit.pdf |
| Package source: | gafit_0.5.1.tar.gz |
| Windows binaries: | r-devel: gafit_0.5.1.zip, r-release: gafit_0.5.1.zip, r-oldrel: gafit_0.5.1.zip |
| macOS binaries: | r-release (arm64): gafit_0.5.1.tgz, r-oldrel (arm64): gafit_0.5.1.tgz, r-release (x86_64): gafit_0.5.1.tgz, r-oldrel (x86_64): gafit_0.5.1.tgz |
| Old sources: | gafit archive |
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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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