accDegrad | Compute the accumulated degradation at each time interval.... |
adf.testWindow | tseries adf.test Window (adf.testWindow) |
computeRUL | Compute Remaining Useful Life (computeRUL) |
convert | DMarkov Convert (convert) |
cosMeasure | Causality Measurement (cosMeasure) |
count | Count Occurrences (count) |
createLifeTab | Create Life Table (createLifeTab) |
createModel | Create HMM (createModel) |
createModel.path | Create HMM (createModel) |
createModels.path | Create HMM (createModel) |
createProbMatX | Create Probability Matrix X (createProbMatX) |
decomp | Signal Decomposition (decomp) |
detectOutliersFft | Detect outliers FFT (detectOutliersFft) |
distribution | Compute Distribution (distribution) |
E | Energy (E) |
F | Free Energy (F) |
forward | Forward Algorithm (forward) |
meanStdDevR | Compute mean and standard deviation (meanStdDevR) |
ndiffsWindow | forecast ndiffs Window (ndiffsWindow) |
RUL.HMM | Remaining useful life using HMM (RUL.HMM) |
runKLDMtx | KL Divergence of multiple time series (runKLDVec) |
runKLDVec | KL Divergence of a single time series (runKLDVec) |
runKLDVecRand | KL Divergence of a single time series and a random data set... |
runKLDVecSim | KL Divergence of a single time series and its simulation... |
runKLDVecVec | KL Divergence of a two time series (runKLDVecVec) |
runSAX | Convert to SAX (runSAX) |
simulateHid | Simulate Hidden Series (simulateHid) |
toWPDSAX | To WPD, to SAX (toWPDSAX) |
train | Train (train) |
trainHMM | Train Hidden Markov Model (trainHMM) |
updateLifeTab | Update Life Table (updateLifeTab) |
updateProbMatX | Update Probability Matrix X (updateProbMatX) |
viterbi | Determine the most probable hidden sequence given an observed... |
viterbiProbVal | Viterbi Probability Value (viterbiProbVal) |
viterbiR | Viterbi Algorithm (viterbiR) |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.