R: Feed-Forward Neural Networks and Multinomial Log-Linear Models

# Feed-Forward Neural Networks and Multinomial Log-Linear Models

## Documentation for package ‘nnet’ version 7.3-20

- DESCRIPTION file
- Package NEWS

## Help Pages

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
logLik.multinom | Fit Multinomial Log-linear Models
model.frame.multinom | Fit Multinomial Log-linear Models
multinom | Fit Multinomial Log-linear Models
nnet | Fit Neural Networks
nnet.default | Fit Neural Networks
nnet.formula | 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