Package: nnet 7.3-20
Brian Ripley
nnet: Feed-Forward Neural Networks and Multinomial Log-Linear Models
Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.
Authors:
nnet_7.3-20.tar.gz
nnet_7.3-20.tar.gz(r-4.5-noble)nnet_7.3-20.tar.gz(r-4.4-noble)
nnet_7.3-20.tgz(r-4.4-emscripten)nnet_7.3-20.tgz(r-4.3-emscripten)
nnet.pdf |nnet.html✨
nnet/json (API)
NEWS
| # Install 'nnet' in R: |
| install.packages('nnet', repos = c('https://cran.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 3 months agofrom:af0b0302e9. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 05 2025 |
| R-4.5-linux-x86_64 | OK | Mar 05 2025 |
| R-4.4-linux-x86_64 | OK | Mar 05 2025 |
Exports:class.indmultinomnnetnnet.defaultnnet.formulannetHesswhich.is.max
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generates Class Indicator Matrix from a Factor | class.ind |
| Fit Multinomial Log-linear Models | add1.multinom anova.multinom coef.multinom drop1.multinom extractAIC.multinom logLik.multinom model.frame.multinom multinom predict.multinom print.multinom print.summary.multinom summary.multinom vcov.multinom |
| Fit Neural Networks | add.net coef.nnet eval.nn nnet nnet.default nnet.formula norm.net print.nnet print.summary.nnet summary.nnet |
| Evaluates Hessian for a Neural Network | nnetHess |
| Predict New Examples by a Trained Neural Net | predict.nnet |
| Find Maximum Position in Vector | which.is.max |