nnetpredint: Prediction Intervals of Multi-Layer Neural Networks

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Computing prediction intervals of neural network models (e.g.backpropagation) at certain confidence level. It can take the output from models trained by other packages like 'nnet', 'neuralnet', 'RSNNS', etc.

Author
Xichen Ding <rockingdingo@gmail.com>
Date of publication
2015-12-21 21:35:34
Maintainer
Xichen Ding <rockingdingo@gmail.com>
License
GPL (>= 2)
Version
1.2

View on CRAN

Man pages

activate
Neuron Activation Function
jacobian
Jacobian Matrix of Gradient Function for Training Datasets
nnetPredInt
Prediction Intervals of Neural Networks
nnetpredint-internal
Internal Functions
transWeightListToVect
Transform the List of Optimal Weights to a Numeric Vector

Files in this package

nnetpredint
nnetpredint/tests
nnetpredint/tests/test1.R
nnetpredint/tests/test3.R
nnetpredint/tests/test2.R
nnetpredint/NAMESPACE
nnetpredint/R
nnetpredint/R/nnetGradient.R
nnetpredint/R/nnetPredIntS3.R
nnetpredint/R/jacobianS3.R
nnetpredint/MD5
nnetpredint/DESCRIPTION
nnetpredint/man
nnetpredint/man/transWeightListToVect.Rd
nnetpredint/man/nnetPredInt.Rd
nnetpredint/man/jacobian.Rd
nnetpredint/man/activate.Rd
nnetpredint/man/nnetpredint-internal.Rd