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crsnls  

Nonlinear Regression Parameters Estimation by 'CRS4HC' and 'CRS4HCe'
View on CRAN: Click here


Download and install crsnls package within the R console
Install from CRAN:
install.packages("crsnls")

Install from Github:
library("remotes")
install_github("cran/crsnls")

Install by package version:
library("remotes")
install_version("crsnls", "0.2")



Attach the package and use:
library("crsnls")
Maintained by
Tomáš Goryl
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-11
Latest Update: 2016-04-26
Description:
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.
How to cite:
Tomáš Goryl (2016). crsnls: Nonlinear Regression Parameters Estimation by 'CRS4HC' and 'CRS4HCe'. R package version 0.2, https://cran.r-project.org/web/packages/crsnls. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1 (2016-04-11 00:44)
Other packages that cited crsnls R package
View crsnls citation profile
Other R packages that crsnls depends, imports, suggests or enhances
Complete documentation for crsnls
Functions, R codes and Examples using the crsnls R package
Some associated functions: crs4hc . crs4hce . 
Some associated R codes: code.R .  Full crsnls package functions and examples
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