nnetpredint: Prediction Intervals of Multi-Layer Neural Networks

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.

Install the latest version of this package by entering the following in R:
AuthorXichen Ding <rockingdingo@gmail.com>
Date of publication2015-12-21 21:35:34
MaintainerXichen Ding <rockingdingo@gmail.com>
LicenseGPL (>= 2)

View on CRAN


activate Man page
activateDeri Man page
calcSigmaEst Man page
checkInput Man page
getJacobianMatrix Man page
getOutVectList Man page
getParaGrad Man page
getPredInt Man page
getPredVal Man page
jacobian Man page
jacobian.default Man page
jacobian.nn Man page
jacobian.nnet Man page
jacobian.rsnns Man page
nnetPredInt Man page
nnetPredInt.default Man page
nnetPredInt.nn Man page
nnetPredInt.nnet Man page
nnetPredInt.rsnns Man page
parGetParaGrad Man page
parOutVectGradMat Man page
sigmoid Man page
sigmoidDeri Man page
tanhDeri Man page
tanhFunc Man page
transModelWts Man page
transWeightListToVect Man page
transWeightPara Man page
transWeightPara2 Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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