constellation: Identify Event Sequences Using Time Series Joins

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.

Version: 0.1.0
Depends: R (≥ 3.0.0)
Imports: data.table (≥ 1.9.5), fasttime (≥ 1.0-2)
Suggests: knitr, rmarkdown, ggplot2, devtools, testthat
Published: 2017-11-30
Author: Mark Sendak [aut, cre]
Maintainer: Mark Sendak <mark.sendak at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/marksendak/constellation
NeedsCompilation: no
Materials: README
CRAN checks: constellation results

Downloads:

Reference manual: constellation.pdf
Vignettes: Identify Sepsis
Package source: constellation_0.1.0.tar.gz
Windows binaries: r-devel: constellation_0.1.0.zip, r-release: constellation_0.1.0.zip, r-oldrel: constellation_0.1.0.zip
OS X El Capitan binaries: r-release: constellation_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: constellation_0.1.0.tgz
Old sources: constellation archive

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