7.3-20 by Brian Ripley, 10 days 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
Suggests MASS
Imported by ARTtransfer, BCClong, BayesTree, CARRoT, CIMTx, CORElearn, CaseCohortCoxSurvival, CausalMetaR, CoImp, Compositional, CondCopulas, DChaos, DTRreg, EPX, EQUALSTATS, EffectLiteR, EnsembleBase, EpiForsk, ExactMed, Frames2, GLMpack, GMDH2, GPSCDF, GenMarkov, Hmisc, Hmsc, ImputeLongiCovs, IsingSampler, JSDNE, LCAvarsel, LDATS, LUCIDus, MEDseq, MEclustnet, MNLR, MSclassifR, MaOEA, MachineShop, MoEClust, Modeler, NeuralNetTools, ODRF, PSweight, RBtest, RISCA, RRMLRfMC, RTextTools, RVAideMemoire, RaSEn, RclusTool, RecordLinkage, SBMTrees, SDMtune, SEMdeep, SIDES, SLCARE, SLEMI, SSDM, ShinyItemAnalysis, TSPred, TheSFACE, VIM, VLMCX, WeightedCluster, abn, autostats, batchtma, bndovb, brglm2, car, causal.decomp, causalBatch, cemco, chemometrics, coca, comorbidPGS, corHMM, cpfa, cpt, daltoolbox, difNLR, diversityForest, drglm, drpop, effects, eglhmm, em, fRegression, factormodel, fdm2id, flexmix, forecast, gWQS, geomod, gesttools, gfoRmula, gfoRmulaICE, glm.predict, gnm, gscaLCA, gspcr, hmm.discnp, ipred, ipw, isni, ivitr, jmv, kgschart, lmap, logisticRR, mDAG, mExplorer, matrixdist, mcca, mice, mixvlmc, mlearning, multe, nlpsem, noisemodel, npcs, ordinalForest, pemultinom, pheble, polyreg, poolABC, projpred, qgcomp, radiant.model, rasclass, rgnoisefilt, riAFTBART, rminer, rties, semiArtificial, seqimpute, sigQC, simPop, spls, subsampling, surveynnet, synthpop, traineR, translate.logit, tsDyn, visualpred.
Depended on by BarcodingR, CBPS, HardyWeinberg, LearnPCA, ModTools, TBFmultinomial, TDSTNN, abc, bcROCsurface, depmixS4, elect, epiDisplay, gamlss.add, gamlss.mx, nftbart, pocrm, sodavis, survivalPLANN.
Suggested by AER, AICcmodavg, ALEPlot, BaM, BiodiversityR, CLME, DirectEffects, DynTxRegime, ExplainPrediction, FLAME, GAparsimony, GGally, HandTill2001, MASS, MNLpred, MatchIt, MuMIn, NeuralSens, ProFAST, R2HTML, ROSE, Rcmdr, RcmdrPlugin.NMBU, Sojourn.Data, StatMatch, SuperLearner, adjustedCurves, analyzer, aplore3, baguette, bamlss, biomod2, broom, broom.helpers, bruceR, buildmer, burgle, butcher, caret, caretEnsemble, catdata, catregs, causaldrf, cdgd, clarkeTest, classmap, condvis2, cv, cvms, discSurv, e1071, evclass, evreg, fable, factorplot, familiar, flowml, fscaret, generalhoslem, ggeffects, ggstats, glmglrt, glmulti, gofcat, gtsummary, hesim, hnp, huxtable, iBreakDown, insight, lda, marginaleffects, mboost, mclogit, mi, micd, mlogit, mlr, mlr3learners, mlrMBO, mlt, mlt.docreg, modelsummary, multpois, mvrsquared, nestedLogit, netseer, ordinal, papaja, parameters, pdp, performanceEstimation, personalized, pmml, probably, psychomix, rattle, relimp, rms, seqHMM, sharp, shipunov, sits, sjmisc, sparklyr, sperrorest, sr, stablelearner, stacks, stdReg2, subsemble, superMICE, tidyfit, validann, vcdExtra, viraldomain.
Enhanced by emmeans, margins, prediction, stargazer, texreg, vip.