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.

AuthorJosef Tvrdík [aut], Tomáš Goryl [trl, cre]
Date of publication2016-04-26 08:44:13
MaintainerTomáš Goryl <tomas.goryl@gmail.com>
LicenseGPL-2
Version0.2

View on CRAN

Files in this package

crsnls
crsnls/NAMESPACE
crsnls/R
crsnls/R/code.R
crsnls/MD5
crsnls/DESCRIPTION
crsnls/man
crsnls/man/crs4hce.Rd crsnls/man/crs4hc.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.