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EventDetectR (version 0.3.5)

Event Detection Framework

Description

Detect events in time-series data. Combines multiple well-known R packages like 'forecast' and 'neuralnet' to deliver an easily configurable tool for multivariate event detection.

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Version

Install

install.packages('EventDetectR')

Monthly Downloads

262

Version

0.3.5

License

GPL-3

Issues

9

Pull Requests

2

Stars

14

Forks

6

Maintainer

Sowmya Chandrasekaran

Last Published

October 10th, 2020

Functions in EventDetectR (0.3.5)

model_NeuralNetwork

Fitting Neuralnet Models
bedAlgo

bedAlgo: postProcessors to classify events
getSupportedPostProcessors

getSupportedPostProcessors
qualityStatistics

qualityStatistics
getSupportedPreparations

getSupportedPreparations
EventDetectR-package

EventDetectR-package description
print.edObject

Print an Event Detection Object
predict.NeuralNetwork

Predict MultivariateNeuralNetwork Models neuralnet Package
model_UnivariateForecast

Fitting Forecast Models
predict.UnivariateForecast

Predict Univariate Models Forecast Package
preparator_imputeTS

Data Preparation with Impute TS
getDefaultPreparationControl

Get Default Control List for ED - Data Preparators
simulateEvents

Imposes simulated events on the top of the data
getSupportedModels

getSupportedModels
stationBData

stationBData
geccoIC2018Test

geccoIC2018Test
detectEvents

detectEvents in a given data.frame
buildEDModel

build Event Detection Model
getDefaultPostControl

Get Default Control List for ED - PostProcessors
eventClassification

Predict Univariate Models Forecast Package
geccoIC2018Train

geccoIC2018Train
getDefaultNeuralNetModelControl

Get Default Control List for ED - NN Model Building Algorithms
plot.edObject

Plot an Event Detection Object
getDefaultForecastModelControl

Get Default Control List for ED - Forecast Model Building Algorithms