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'))

Peer review:

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

1.00 score 2 scripts 147 downloads 2 exports 0 dependencies

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

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-linuxOKDec 08 2024

Exports:crs4hccrs4hce

Dependencies: