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.zip(r-4.7-any)crsnls_0.2.zip(r-4.6-any)
crsnls_0.2.tar.gz(r-4.7-any)crsnls_0.2.tar.gz(r-4.6-any)
crsnls_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
crsnls/json (API)

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

On CRAN:

Conda:

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 279 downloads 2 exports 0 dependencies

Last updated from:f5bce0f31e. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK123
source / vignettesOK163
linux-releaseOK75
windows-develOK52
windows-releaseOK52
wasm-releaseOK73

Exports:crs4hccrs4hce

Dependencies: