R: Time Series Analysis Library

# Time Series Analysis Library

## Documentation for package ‘TSEAL’ version 0.1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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
filterParameters | filterParameters
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".