Software for feed-forward neural networks with a single
hidden layer, and for multinomial log-linear models.
| Reverse depends: |
abc, abn, BarcodingR, BART, bcROCsurface, CBPS, dave, depmixS4, difNLR, elect, epiDisplay, 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, blkbox, brglm2, car, CARRoT, chemmodlab, chemometrics, CoImp, CORElearn, corHMM, cpt, DAMisc, DChaos, EffectLiteR, effects, EnsembleBase, exprso, factorplot, flexmix, forecast, Frames2, fRegression, galgo, gencve, glm.predict, glmdisc, GMDH2, gnm, GPSCDF, hmi, Hmisc, hmm.discnp, hybridEnsemble, ipred, ipw, IsingSampler, isni, jmv, kgschart, LCAvarsel, logisticRR, LUCIDus, mcca, mDAG, MEclustnet, mExplorer, mice, mlearning, MNLR, Modeler, MoEClust, MXM, networktools, NeuralNetTools, NoiseFiltersR, OptimClassifier, ordinalForest, Plasmode, pubh, pvsR, radiant.model, rasclass, RecordLinkage, reinforcelearn, rminer, RTransProb, RVAideMemoire, selac, semiArtificial, ShinyItemAnalysis, SIDES, sigQC, simPop, sparsebnUtils, spectral.methods, spls, SSDM, tsDyn, tsensembler, VIM |
| Reverse suggests: |
AER, AICcmodavg, ALEPlot, aplore3, BiodiversityR, boostr, broom, buildmer, caret, caretEnsemble, catdata, causaldrf, ChemometricsWithR, CLME, discSurv, DynTxRegime, e1071, ExplainPrediction, fscaret, GAparsimony, generalhoslem, glmulti, GSIF, HandTill2001, hnp, huxtable, iBreakDown, insight, lda, MachineShop, MASS, MatchIt, mboost, mi, mlDNA, mlogit, mlr, mlrMBO, mlt, mlt.docreg, MuMIn, nnetpredint, ordinal, pdp, performanceEstimation, plot3logit, pmml, psychomix, R2HTML, rattle, Rcmdr, RcmdrPlugin.IPSUR, RcmdrPlugin.NMBU, RcmdrPlugin.pointG, relimp, ROSE, seqHMM, shipunov, sparklyr, sperrorest, SPreFuGED, stablelearner, SuperLearner, validann, vcdExtra, vip, VRPM, MASS, MASS |
| Reverse enhances: |
emmeans, margins, prediction, stargazer, texreg |