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
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

Downloads:

Reference manual: crsnls.pdf
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
OS X El Capitan binaries: r-release: crsnls_0.2.tgz
OS X Mavericks binaries: r-oldrel: crsnls_0.2.tgz
Old sources: crsnls archive

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