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: 7.3-13
Priority: recommended
Depends: R (≥ 3.0.0), stats, utils
Suggests: MASS
Published: 2020-02-25
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_7.3-13.tar.gz
Windows binaries: r-devel: nnet_7.3-13.zip, r-devel-gcc8: nnet_7.3-13.zip, r-release: nnet_7.3-13.zip, r-oldrel: nnet_7.3-13.zip
OS X binaries: r-release: nnet_7.3-13.tgz, r-oldrel: nnet_7.3-13.tgz
Old sources: nnet archive

Reverse dependencies:

Reverse depends: abc, abn, BarcodingR, BART, bcROCsurface, CBPS, dave, depmixS4, elect, epiDisplay, fdm2id, gamlss.add, gamlss.mx, GDAtools, gfmR, HIest, HydeNet, ImpactIV, introgress, LOGICOIL, partialOR, pocrm, roughrf, sodavis, SQB, synthpop, TBFmultinomial
Reverse imports: BaBooN, BaM, BayesTree, Biocomb, biomod2, BioSeqClass, BIRDS, blkbox, brglm2, car, CARRoT, chemmodlab, chemometrics, coca, CoImp, CORElearn, corHMM, cpt, DAMisc, DChaos, difNLR, EffectLiteR, effects, EnsembleBase, expose, factorplot, flexmix, forecast, Frames2, fRegression, gencve, gfoRmula, glm.predict, glmdisc, GLMpack, GMDH2, gnm, GPSCDF, gWQS, gWQSRS, hmi, Hmisc, hmm.discnp, Hmsc, hybridEnsemble, ipred, ipw, IsingSampler, isni, jmv, kgschart, LCAvarsel, LDATS, logisticRR, LUCIDus, MachineShop, MaOEA, mcca, mDAG, MEclustnet, MEDseq, mExplorer, mlearning, MNLR, Modeler, MoEClust, MXM, networktools, NeuralNetTools, nnNorm, NoiseFiltersR, OptimClassifier, ordinalForest, Plasmode, polyreg, pRoloc, pvsR, radiant.model, rasclass, RBtest, RclusTool, reinforcelearn, rminer, RTransProb, RVAideMemoire, scde, SDMtune, selac, semiArtificial, seq2pathway, ShinyItemAnalysis, shinyr, SIDES, sigQC, simPop, SLEMI, soilassessment, Sojourn, Sojourn.Data, sparsebnUtils, spectral.methods, spls, SSDM, traineR, tsDyn, VIM
Reverse suggests: AER, AICcmodavg, ALEPlot, aplore3, BAGofT, bamlss, BiodiversityR, boostr, broom, buildmer, butcher, caret, caretEnsemble, catdata, causaldrf, ChemometricsWithR, clarkeTest, CLME, CMA, cvms, discSurv, DynTxRegime, e1071, ExplainPrediction, fable, fscaret, GAparsimony, generalhoslem, glmulti, GSIF, HandTill2001, hnp, huxtable, iBreakDown, insight, lda, MASS, MASS, MASS, MatchIt, mboost, methyvim, mi, mice, MLInterfaces, mlogit, mlr, mlrMBO, mlt, mlt.docreg, mnlogit, MNLpred, modelplotr, MuMIn, mvrsquared, NeuralSens, nnetpredint, ordinal, pdp, performanceEstimation, personalized, plot3logit, pmml, psychomix, pubh, R2HTML, rattle, rbart, Rcmdr, RcmdrPlugin.IPSUR, RcmdrPlugin.NMBU, RcmdrPlugin.pointG, relimp, ROSE, seqHMM, shipunov, sparklyr, sperrorest, SPreFuGED, stablelearner, SuperLearner, validann, vcdExtra, vip
Reverse enhances: emmeans, glmglrt, margins, prediction, stargazer, texreg

Linking:

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