Feed-Forward Neural Networks and Multinomial Log-Linear Models


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Documentation for package ‘nnet’ version 7.3-16

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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
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