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 |