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: 7.3-12
Priority: recommended
Depends: R (≥ 2.14.0), stats, utils
Suggests: MASS
Published: 2016-02-02
Author: Brian Ripley [aut, cre, cph], William Venables [cph]
Maintainer: Brian Ripley <ripley at stats.ox.ac.uk>
BugReports: NA
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_7.3-12.tar.gz
Windows binaries: r-devel: nnet_7.3-12.zip, r-release: nnet_7.3-12.zip, r-oldrel: nnet_7.3-12.zip
OS X Mavericks binaries: r-release: nnet_7.3-12.tgz, r-oldrel: nnet_7.3-12.tgz
Old sources: nnet archive

Reverse dependencies:

Reverse depends: abc, BarcodingR, CBPS, depmixS4, epiDisplay, gamlss.add, gamlss.mx, HIest, HydeNet, ImpactIV, introgress, LOGICOIL, MDM, partialOR, pocrm, roughrf, SIDES, sodavis, synthpop
Reverse imports: BaBooN, BaM, BayesTree, Biocomb, biomod2, car, chemometrics, CoImp, DAMisc, dprep, EffectLiteR, effects, EnsembleBase, factorplot, flexmix, forecast, Frames2, fRegression, gencve, gnm, Hmisc, hybridEnsemble, intubate, ipred, ipw, IsingSampler, mice, mlearning, MXM, NeuralNetTools, NoiseFiltersR, oblique.tree, pvsR, rasclass, RcmdrPlugin.BCA, RecordLinkage, rminer, RTextTools, RVAideMemoire, semiArtificial, ShinyItemAnalysis, simPop, spectral.methods, spls, SSDM, tsDyn, VIM
Reverse suggests: AER, AICcmodavg, aplore3, bayesMCClust, BiodiversityR, boostr, broom, caret, caretEnsemble, catdata, causaldrf, ChemometricsWithR, discSurv, DynTxRegime, e1071, fscaret, generalhoslem, glmulti, GSIF, HandTill2001, hnp, lda, lsmeans, MASS, MatchIt, mboost, mi, mlDNA, mlogit, mlr, mlt, mlt.docreg, mnlogit, MuMIn, nnetpredint, ordinal, pmml, psychomix, R2HTML, race, rattle, Rcmdr, RcmdrPlugin.IPSUR, RcmdrPlugin.NMBU, RcmdrPlugin.pointG, relimp, ROSE, seqHMM, subsemble, SuperLearner, validann, VBmix, vcdExtra
Reverse enhances: stargazer, texreg