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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("nnet")

7.3-21 by Brian Ripley, 2 months ago


http://www.stats.ox.ac.uk/pub/MASS4/


Browse source code at https://github.com/cran/nnet


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


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Depends on stats, utils

Suggests MASS


Imported by ARTtransfer, AssumpSure, BCClong, BayesTree, CARRoT, CDSimX, CIMTx, CSDownscale, CaseCohortCoxSurvival, CausalMetaR, CoImp, Compositional, CondCopulas, DChaos, DTRreg, EHRmuse, EPX, EQUALSTATS, EffectLiteR, EpiForsk, ExactMed, FSSgam, Frames2, GLMpack, GMDH2, GPSCDF, GenMarkov, HNPclassifier, Hmisc, Hmsc, ImputeLongiCovs, IsingSampler, JSDNE, LDATS, LUCIDus, MEDseq, MEclustnet, MNLR, MXM, MaOEA, MachineShop, MoEClust, Modeler, Nestimate, NeuralNetTools, ODRF, PND.heter.cluster, PSPI, PSweight, RBtest, RISCA, RRMLRfMC, RTextTools, RVAideMemoire, RaSEn, RecordLinkage, SBMTrees, SDMtune, SIDES, SIS, SLCARE, SLEMI, SSDM, ShinyItemAnalysis, Sojourn, TSPred, TTE, TheSFACE, VIM, VLMCX, WeightedCluster, abn, accelEE, ambit, autoann, automatedtests, autostats, batchtma, bndovb, brglm2, car, causal.decomp, causalBatch, cemco, cfbfastR, chemometrics, clustGLMM, clustord, corHMM, cpfa, cpt, daltoolbox, dataquieR, difNLR, drglm, drpop, dtms, effects, eglhmm, fRegression, factorana, factormodel, flexmix, forecast, funcml, gWQS, geomod, gfoRmula, gfoRmulaICE, glm.predict, gnm, gomp, gscaLCA, gspcr, hmm.discnp, ipeval, ipred, ipw, isni, jmv, kgschart, lmap, lorbridge, mDAG, mExplorer, matrixdist, mcca, miapack, mice, mixvlmc, mlearning, multe, multiswc, nadir, narfima, nlpsem, noisemodel, npcs, ordinalForest, pemultinom, player, polyreg, projpred, qgcomp, radiant.model, rdlearn, rgnoisefilt, riAFTBART, rminer, rqlm, seqimpute, shinyr, simPop, soilassessment, spls, statMatchLCM, subsampling, svyCausalGLM, synthpop, tabxplor, tidylearn, traineR, translate.logit, tspredit, visualpred, wqspt.

Depended on by BarcodingR, CBPS, HardyWeinberg, LearnPCA, ModTools, NumericEnsembles, TBFmultinomial, TDSTNN, abc, bcROCsurface, depmixS4, elect, epiDisplay, fdm2id, gamlss.add, nftbart, pocrm, sodavis, survivalPLANN.

Suggested by AER, AICcmodavg, BaM, BiodiversityR, CLCM, CLME, CimpleG, DImodelsVis, DataSimilarity, DirectEffects, DrData, Dyn4cast, DynTxRegime, E2E, EDI, EE.Data, EpiQuestionR, FLAME, GAparsimony, GGally, GenericML, GeoVersa, HandTill2001, MASS, MSclassifR, MatchIt, MuMIn, NeuralSens, PSsurvival, ProFAST, R2HTML, R4VN, ROSE, Rcmdr, RcmdrPlugin.NMBU, Sojourn.Data, StatMatch, SuperLearner, TextAnalysisR, UKBAnalytica, Usmile, adjustedCurves, ale, analyzer, aplore3, baguette, bamlss, biomod2, broom, broom.helpers, bruceR, buildmer, burgle, butcher, caret, caretEnsemble, caretSDM, catdata, catregs, causaldrf, cdgd, civic.icarm, clarkeTest, classmap, colleyRstats, condvis2, cramR, cv, cvms, dataganger, discSurv, e1071, ensModelVis, evclass, eyeprocess, fable, factorplot, familiar, fastml, foresty, fwb, generalhoslem, ggeffects, ggextreme, ggstats, glmnet, glmulti, gofcat, gp3ml, gtsummary, guideR, hesim, hnp, huxtable, iBreakDown, icarm, insight, interflex, lda, marginaleffects, mboost, mclogit, mellio, mi, micd, mixqrgate, mlogit, mlr, mlr3forecast, mlr3learners, mlrMBO, mlt, mlt.docreg, modelbased, modelsummary, multpois, mvrsquared, nestedLogit, netseer, orbital, ordinal, papaja, parameters, pdp, performance, personalized, plot3logit, pmml, probably, propensity, psre, psychomix, rattle, relimp, remstimate, rfriend, rms, rtestim, seqHMM, sharp, sits, sjmisc, sparklyr, sperrorest, spicy, sr, stablelearner, stacks, stdReg2, subsemble, surveyframe, tidypredict, tseLCA, unifiedml, utsf, validann, vcdExtra, vecmatch, weights.

Enhanced by emmeans, margins, prediction, stargazer, texreg.


See at CRAN