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 |