Package: onls 0.1-2

onls: Orthogonal Nonlinear Least-Squares Regression

Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting.

Authors:Andrej-Nikolai Spiess [aut, cre]

onls_0.1-2.tar.gz
onls_0.1-2.zip(r-4.5)onls_0.1-2.zip(r-4.4)onls_0.1-2.zip(r-4.3)
onls_0.1-2.tgz(r-4.4-any)onls_0.1-2.tgz(r-4.3-any)
onls_0.1-2.tar.gz(r-4.5-noble)onls_0.1-2.tar.gz(r-4.4-noble)
onls_0.1-2.tgz(r-4.4-emscripten)onls_0.1-2.tgz(r-4.3-emscripten)
onls.pdf |onls.html✨
onls/json (API)
NEWS

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

Peer review:

On CRAN:

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

2.58 score 2 stars 19 scripts 238 downloads 1 mentions 8 exports 1 dependencies

Last updated 2 years agofrom:1c5511b2a1. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winNOTEOct 25 2024
R-4.5-linuxNOTEOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:check_odeviance_ologLik_oNISTonlsresiduals_ox0y0

Dependencies:minpack.lm

Introduction

Rendered fromonls.Rnwusingutils::Sweaveon Oct 25 2024.

Last update: 2022-10-31
Started: 2015-09-09