Software for feed-forward neural networks with a single
hidden layer, and for multinomial log-linear models.
| Reverse depends: |
abc, BarcodingR, bcROCsurface, CBPS, depmixS4, elect, epiDisplay, gamlss.add, gamlss.mx, HardyWeinberg, LearnPCA, ModTools, nftbart, pocrm, sodavis, survivalPLANN, TBFmultinomial, TDSTNN |
| Reverse imports: |
abn, ARTtransfer, autostats, batchtma, BayesTree, BCClong, bndovb, brglm2, car, CARRoT, CaseCohortCoxSurvival, causal.decomp, causalBatch, CausalMetaR, cemco, chemometrics, CIMTx, coca, CoImp, comorbidPGS, Compositional, CondCopulas, CORElearn, corHMM, cpfa, cpt, daltoolbox, DChaos, difNLR, diversityForest, drglm, drpop, DTRreg, EffectLiteR, effects, eglhmm, em, EnsembleBase, EpiForsk, EPX, EQUALSTATS, ExactMed, factormodel, fdm2id, flexmix, forecast, Frames2, fRegression, GenMarkov, geomod, gesttools, gfoRmula, glm.predict, GLMpack, GMDH2, gnm, GPSCDF, gscaLCA, gspcr, gWQS, Hmisc, hmm.discnp, Hmsc, ImputeLongiCovs, ipred, ipw, IsingSampler, isni, ivitr, jmv, JSDNE, kgschart, LCAvarsel, LDATS, lmap, logisticRR, LUCIDus, MachineShop, MaOEA, matrixdist, mcca, mDAG, MEclustnet, MEDseq, mExplorer, mice, mixvlmc, mlearning, MNLR, Modeler, MoEClust, MSclassifR, multe, nempi, netZooR, NeuralNetTools, nlpsem, nnNorm, noisemodel, npcs, ODRF, ordinalForest, pemultinom, pheble, polyreg, poolABC, projpred, pRoloc, PSweight, qgcomp, radiant.model, rasclass, RaSEn, RBtest, RclusTool, RecordLinkage, rgnoisefilt, riAFTBART, rifi, rifiComparative, RISCA, rminer, RRMLRfMC, RTextTools, rties, RVAideMemoire, scde, SDMtune, SEMdeep, semiArtificial, seq2pathway, seqimpute, ShinyItemAnalysis, SIDES, sigQC, simPop, SLCARE, SLEMI, spls, SSDM, subsampling, synthpop, TheSFACE, traineR, translate.logit, tsDyn, TSPred, VIM, visualpred, VLMCX, WeightedCluster |
| Reverse suggests: |
adjustedCurves, AER, AICcmodavg, ALEPlot, analyzer, aplore3, baguette, BaM, bamlss, BiodiversityR, biomod2, broom, broom.helpers, bruceR, buildmer, burgle, butcher, caret, caretEnsemble, catdata, catregs, causaldrf, cdgd, clarkeTest, classmap, CLME, CMA, condvis2, cv, cvms, DirectEffects, discSurv, DynTxRegime, e1071, evclass, evreg, ExplainPrediction, fable, factorplot, familiar, fastml, FLAME, flowml, fscaret, GAparsimony, generalhoslem, GGally, ggeffects, ggstats, glmglrt, glmulti, gofcat, gtsummary, HandTill2001, hesim, hnp, huxtable, iBreakDown, insight, lda, marginaleffects, MASS, MatchIt, mboost, mclogit, mi, micd, MLInterfaces, mlogit, mlr, mlr3learners, mlrMBO, mlt, mlt.docreg, MNLpred, modelsummary, multpois, MuMIn, mvrsquared, nestedLogit, netseer, NeuralSens, ordinal, papaja, parameters, pdp, performanceEstimation, personalized, pmml, probably, ProFAST, psychomix, R2HTML, rattle, Rcmdr, RcmdrPlugin.NMBU, relimp, rms, ROSE, seqHMM, sharp, shipunov, sits, sjmisc, Sojourn.Data, sparklyr, sperrorest, sr, stablelearner, stacks, stdReg2, subsemble, SuperLearner, superMICE, tidyfit, validann, vcdExtra, viraldomain |
| Reverse enhances: |
emmeans, margins, prediction, stargazer, texreg, vip |