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: 7.3-10
Priority: recommended
Depends: R (≥ 2.14.0), stats, utils
Suggests: MASS
Published: 2015-06-29
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


Reference manual: nnet.pdf
Package source: nnet_7.3-10.tar.gz
Windows binaries: r-devel: nnet_7.3-10.zip, r-release: nnet_7.3-10.zip, r-oldrel: nnet_7.3-10.zip
OS X Snow Leopard binaries: r-oldrel: nnet_7.3-9.tgz
OS X Mavericks binaries: r-release: nnet_7.3-10.tgz
Old sources: nnet archive

Reverse dependencies:

Reverse depends: abc, BaM, CBPS, depmixS4, epiDisplay, factorplot, gamlss.add, gamlss.mx, HIest, ImpactIV, introgress, LOGICOIL, MDM, partialOR, pocrm, roughrf, synthpop
Reverse imports: BaBooN, BayesTree, biomod2, car, chemometrics, CoImp, DAMisc, EffectLiteR, effects, EnsembleBase, flexmix, forecast, fRegression, gnm, Hmisc, hybridEnsemble, ipred, IsingSampler, mice, mlearning, NeuralNetTools, oblique.tree, pvsR, rasclass, RcmdrPlugin.BCA, RecordLinkage, rminer, RTextTools, RVAideMemoire, semiArtificial, simPop, spectral.methods, spls, tsDyn, VIM
Reverse suggests: AER, AICcmodavg, aplore3, bayesMCClust, BiodiversityR, boostr, broom, caret, caretEnsemble, catdata, ChemometricsWithR, DynTxRegime, e1071, fscaret, glmulti, GSIF, HandTill2001, hnp, MASS, MatchIt, mboost, mi, 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