Identify Event Sequences Using Time Series Joins
Identify bundle items that occur around a given event
Identify when a constellation of events occur
Provide details about individual events within a constellation
Identify incident events separated by a minimum time window
Identify changes in a value over time
Examine any number of time series data frames to identify instances in which various criteria are met within specified time frames. In clinical medicine, these types of events are often called "constellations of signs and symptoms", because a single condition depends on a series of events occurring within a certain amount of time of each other. This package was written to work with any number of time series data frames and is optimized for speed to work well with data frames with millions of rows.