R: Streaming Events and their Early Classification

# Streaming Events and their Early Classification

## Documentation for package ‘eventstream’ version 0.1.1

- DESCRIPTION file
- Package README

## Help Pages

extract_event_ftrs | Extracts events from a data stream and computes event features.
gen_stream | Generates a two dimensional data stream containing events of two classes.
get_clusters | Extracts events from a two-dimensional data stream
get_clusters_3d | Extracts events from a three-dimensional data stream
get_features | Computes event-features
get_features_3d | Computes event-features
NO2_2010 | A dataset containing NO2 data for 2010
NO2_2011 | A dataset containing NO2 data for 2011
NO2_2012 | A dataset containing NO2 data for 2012
NO2_2013 | A dataset containing NO2 data for 2013
NO2_2014 | A dataset containing NO2 data for 2014
NO2_2015 | A dataset containing NO2 data for 2015
NO2_2016 | A dataset containing NO2 data for 2016
NO2_2017 | A dataset containing NO2 data for 2017
NO2_2018 | A dataset containing NO2 data for 2018
NO2_2019 | A dataset containing NO2 data for 2019
predict_tdl | Prediction with incomplete-event-classifier
real_details | A dataset containing the details of class A events in the dataset real_stream.
real_stream | A data stream from a real world application
spline_stats | Computes background quantities using splines
stats_3d | Computes mean and standard deviation
stream_from_files | Generates a two dimensional data stream from data files in a given folder.
td_logistic | Classification with incomplete-event-classifier
tune_cpdbee_2D | Tunes 2D event detection using labeled data
tune_cpdbee_3D | Tunes 3D event detection using labeled data