Package: onls 0.1-4
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. Delivers the same results as the 'ODRPACK' Fortran implementation described in Boggs et al. (1989) <doi:10.1145/76909.76913>, but is implemented in pure R.
Authors:
onls_0.1-4.tar.gz
onls_0.1-4.zip(r-4.7)onls_0.1-4.zip(r-4.6)onls_0.1-4.zip(r-4.5)
onls_0.1-4.tgz(r-4.6-any)onls_0.1-4.tgz(r-4.5-any)
onls_0.1-4.tar.gz(r-4.7-any)onls_0.1-4.tar.gz(r-4.6-any)
onls_0.1-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
onls/json (API)
| # Install 'onls' in R: |
| install.packages('onls', repos = c('https://anspiess.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.
Last updated from:1255e0a14a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 111 | ||
| source / vignettes | OK | 160 | ||
| linux-release-x86_64 | OK | 102 | ||
| macos-release-arm64 | OK | 78 | ||
| macos-oldrel-arm64 | OK | 66 | ||
| windows-devel | OK | 57 | ||
| windows-release | OK | 60 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 81 |
Exports:check_odeviance_ologLik_oNISTonlsresiduals_ox0y0
Dependencies:minpack.lm
