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.

Version: 7.3-8
Priority: recommended
Depends: R (≥ 2.14.0), stats, utils
Suggests: MASS
Published: 2014-03-28
Author: Brian Ripley [aut, cre, cph], William Venables [cph]
Maintainer: Brian Ripley <ripley at stats.ox.ac.uk>
License: GPL-2 | GPL-3
URL: http://www.stats.ox.ac.uk/pub/MASS4/
NeedsCompilation: yes
Citation: nnet citation info
Materials: NEWS
In views: Econometrics, MachineLearning, SocialSciences
CRAN checks: nnet results

Downloads:

Reference manual: nnet.pdf
Package source: nnet_7.3-8.tar.gz
Windows binaries: r-devel: nnet_7.3-8.zip, r-release: nnet_7.3-8.zip, r-oldrel: nnet_7.3-8.zip
OS X Snow Leopard binaries: r-release: nnet_7.3-8.tgz, r-oldrel: nnet_7.3-8.tgz
OS X Mavericks binaries: r-release: nnet_7.3-8.tgz
Old sources: nnet archive

Reverse dependencies:

Reverse depends: abc, ascrda, BaBooN, BaM, CBPS, chemometrics, DAMisc, depmixS4, epicalc, factorplot, gamlss.add, gamlss.mx, HIest, ImpactIV, introgress, KsPlot, LOGICOIL, MDM, mixedQF, partialOR, pocrm, synthpop
Reverse imports: BayesTree, biomod2, car, CoImp, EnsembleBase, flexmix, forecast, fRegression, gnm, Hmisc, hybridEnsemble, ipred, mi, mice, mlearning, oblique.tree, pvsR, rasclass, RcmdrPlugin.BCA, rminer, RTextTools, semiArtificial, simPop, spectral.methods, spls, tsDyn, VIM
Reverse suggests: AER, AICcmodavg, bayesMCClust, BiodiversityR, boostr, caret, catdata, ChemometricsWithR, CLME, e1071, effects, fscaret, glmulti, GSIF, HandTill2001, MASS, MatchIt, mlDNA, mlogit, mlr, mnlogit, MuMIn, ordinal, pmml, psychomix, R2HTML, race, rattle, Rcmdr, RcmdrPlugin.IPSUR, RcmdrPlugin.NMBU, RcmdrPlugin.pointG, relimp, ROSE, subsemble, SuperLearner, VBmix, vcdExtra
Reverse enhances: stargazer, texreg