crsnls: Nonlinear Regression Parameters Estimation by 'CRS4HC' and 'CRS4HCe'
Version 0.2

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.

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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
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("crsnls")

Man pages

crs4hc: Estimation of Nonlinear Regression Parameters with CRS4HC
crs4hce: Estimation of Nonlinear Regression Parameters with CRS4HCe

Functions

cdeadp Source code
crs4hc Man page Source code
crs4hce Man page Source code
nahvyb Source code
nahvyb_expt Source code
plot.crs4hc Source code
print.crs4hc Source code
refl_bestrwd Source code
refl_rwd Source code
roulette_simple Source code
rss Source code
summary.crs4hc Source code
zrcad Source code

Files

NAMESPACE
R
R/code.R
MD5
DESCRIPTION
man
man/crs4hce.Rd
man/crs4hc.Rd
crsnls documentation built on May 20, 2017, 2:05 a.m.