Package: nnetLM 1.0.1.9000
nnetLM: Neural Network with Levenberg-Marquardt Optimization
An implementation of a Neural Network using the Levenberg-Marquardt optimization from 'minpack.lm', ideal for small datasets. For more details see Moré (1978) <doi:10.1007/BFb0067700>.
Authors:
nnetLM_1.0.1.9000.tar.gz
nnetLM_1.0.1.9000.zip(r-4.7)nnetLM_1.0.1.9000.zip(r-4.6)nnetLM_1.0.1.9000.zip(r-4.5)
nnetLM_1.0.1.9000.tgz(r-4.6-any)nnetLM_1.0.1.9000.tgz(r-4.5-any)
nnetLM_1.0.1.9000.tar.gz(r-4.7-any)nnetLM_1.0.1.9000.tar.gz(r-4.6-any)
nnetLM_1.0.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nnetLM/json (API)
NEWS
| # Install 'nnetLM' in R: |
| install.packages('nnetLM', repos = c('https://umbe1987.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/umbe1987/nnetlm/issues
Last updated from:0ebb18f12a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 99 | ||
| source / vignettes | OK | 144 | ||
| linux-release-x86_64 | OK | 88 | ||
| macos-release-arm64 | OK | 68 | ||
| macos-oldrel-arm64 | OK | 96 | ||
| windows-devel | OK | 108 | ||
| windows-release | OK | 64 | ||
| windows-oldrel | OK | 58 | ||
| wasm-release | OK | 87 |
Exports:nnetLMtrain.nnetLM
Dependencies:minpack.lm
