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constellation  

Identify Event Sequences Using Time Series Joins
View on CRAN: Click here


Download and install constellation package within the R console
Install from CRAN:
install.packages("constellation")

Install from Github:
library("remotes")
install_github("cran/constellation")

Install by package version:
library("remotes")
install_version("constellation", "0.2.0")



Attach the package and use:
library("constellation")
Maintained by
Mark Sendak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-02
Latest Update: 2018-03-27
Description:
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.
How to cite:
Mark Sendak (2017). constellation: Identify Event Sequences Using Time Series Joins. R package version 0.2.0, https://cran.r-project.org/web/packages/constellation. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.0.1 (2017-11-02 10:49), 0.1.0 (2017-11-30 20:07)
Other packages that cited constellation R package
View constellation citation profile
Other R packages that constellation depends, imports, suggests or enhances
Complete documentation for constellation
Functions, R codes and Examples using the constellation R package
Some associated functions: bundle . constellate . constellate_criteria . incidents . labs . orders . value_change . vitals . 
Some associated R codes: bundle.R . constellate.R . constellate_criteria.R . incidents.R . labs.R . orders.R . value_change.R . vitals.R .  Full constellation package functions and examples
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