Package: crsnls 0.2

Tomáš Goryl

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.

Authors:Josef Tvrdík [aut], Tomáš Goryl [trl, cre]

crsnls_0.2.tar.gz
crsnls_0.2.tar.gz(r-4.5-noble)crsnls_0.2.tar.gz(r-4.4-noble)
crsnls_0.2.tgz(r-4.4-emscripten)crsnls_0.2.tgz(r-4.3-emscripten)
crsnls.pdf |crsnls.html
crsnls/json (API)

# Install 'crsnls' in R:
install.packages('crsnls', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 127 downloads 2 exports 0 dependencies

Last updated 9 years agofrom:f5bce0f31e. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-linuxOKFeb 06 2025

Exports:crs4hccrs4hce

Dependencies: