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| add.net | Fit Neural Networks |
| add1.multinom | Fit Multinomial Log-linear Models |
| anova.multinom | Fit Multinomial Log-linear Models |
| class.ind | Generates Class Indicator Matrix from a Factor |
| coef.multinom | Fit Multinomial Log-linear Models |
| coef.nnet | Fit Neural Networks |
| drop1.multinom | Fit Multinomial Log-linear Models |
| eval.nn | Fit Neural Networks |
| extractAIC.multinom | Fit Multinomial Log-linear Models |
| model.frame.multinom | Fit Multinomial Log-linear Models |
| multinom | Fit Multinomial Log-linear Models |
| nnet | Fit Neural Networks |
| nnetHess | Evaluates Hessian for a Neural Network |
| norm.net | Fit Neural Networks |
| predict.multinom | Fit Multinomial Log-linear Models |
| predict.nnet | Predict New Examples by a Trained Neural Net |
| print.multinom | Fit Multinomial Log-linear Models |
| print.nnet | Fit Neural Networks |
| print.summary.multinom | Fit Multinomial Log-linear Models |
| print.summary.nnet | Fit Neural Networks |
| summary.multinom | Fit Multinomial Log-linear Models |
| summary.nnet | Fit Neural Networks |
| vcov.multinom | Fit Multinomial Log-linear Models |
| which.is.max | Find Maximum Position in Vector |