Package: nnet 7.3-19

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:Brian Ripley [aut, cre, cph], William Venables [cph]

nnet_7.3-19.tar.gz
nnet_7.3-19.tar.gz(r-4.5-noble)nnet_7.3-19.tar.gz(r-4.4-noble)
nnet_7.3-19.tgz(r-4.4-emscripten)nnet_7.3-19.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'))

Peer review:

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

11.10 score 6 stars 2.3k packages 7.1k scripts 43k downloads 296 mentions 7 exports 0 dependencies

Last updated 2 years agofrom:4600c58673. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 19 2024
R-4.5-linux-x86_64OKDec 19 2024

Exports:class.indmultinomnnetnnet.defaultnnet.formulannetHesswhich.is.max

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Generates Class Indicator Matrix from a Factorclass.ind
Fit Multinomial Log-linear Modelsadd1.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 Networksadd.net coef.nnet eval.nn nnet nnet.default nnet.formula norm.net print.nnet print.summary.nnet summary.nnet
Evaluates Hessian for a Neural NetworknnetHess
Predict New Examples by a Trained Neural Netpredict.nnet
Find Maximum Position in Vectorwhich.is.max