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crsnls: Nonlinear Regression Parameters Estimation by 'CRS4HC' and 'CRS4HCe'

Functions for nonlinear regression parameters estimation by algorithms based on Controlled Random Search algorithm. Both functions (crs4hc(), crs4hce()) adapt current search strategy by four heuristics competition. In addition, crs4hce() improves adaptability by adaptive stopping condition.

Version: 0.2
Published: 2016-04-26
DOI: 10.32614/CRAN.package.crsnls
Author: Josef Tvrdík [aut], Tomáš Goryl [trl, cre]
Maintainer: Tomáš Goryl <tomas.goryl at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: crsnls results

Documentation:

Reference manual: crsnls.pdf

Downloads:

Package source: crsnls_0.2.tar.gz
Windows binaries: r-devel: crsnls_0.2.zip, r-release: crsnls_0.2.zip, r-oldrel: crsnls_0.2.zip
macOS binaries: r-release (arm64): crsnls_0.2.tgz, r-oldrel (arm64): crsnls_0.2.tgz, r-release (x86_64): crsnls_0.2.tgz, r-oldrel (x86_64): crsnls_0.2.tgz
Old sources: crsnls archive

Linking:

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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.