Time Series Analysis Library


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Documentation for package ‘TSEAL’ version 0.1.3

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availableFeatures availableFeatures
availableFilters availableFilters
chooseLevel Select the DWT level of decomposition based on wavelet filter, data series length and a user choice
classify Classifies observations based on a pretrained model.
classify.array Classifies observations based on a pretrained model.
classify.MultiWaveAnalysis Classifies observations based on a pretrained model.
extractSubset Extract observations from a MultiWaveAnalysis
generateStepDiscrim Generate StepDiscrim from raw data
KFCV K-Fold Cross Validation (KFCV)
KFCV.array Generates and validates a discriminant model generated directly from the data.
KFCV.MultiWaveAnalysis KFCV
LOOCV Leave-One-Out Cross Validation
LOOCV.array Generates and validates a discriminant model generated directly from the data.
LOOCV.MultiWaveAnalysis LOOCV
MultiWaveAnalysis Generate a MultiWave analysis
SameDiscrim Allows to select the same variables for a given StepDiscrim
StepDiscrim Select the most discriminating variables
StepDiscrimV Select the most discriminating variables
testFilters testFilters
testModel Computes a classification from a pretrained discriminant
trainModel Generate a Discriminant Model
trainModel.array Generates a discriminant model from training data.
trainModel.MultiWaveAnalysis Generates a discriminant model from an already generated "MultiWaveAnalysis".