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RStorm
View on CRAN: Click
here
Download and install RStorm package within the R console
Install from CRAN:
install.packages("RStorm")
Install from Github:
library("remotes")
install_github("cran/RStorm")
Install by package version:
library("remotes")
install_version("RStorm", "1.0")
Attach the package and use:
library("RStorm")
Maintained by
Maurits Kaptein
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2013-08-28
Latest Update: 2018-11-29
Description:
While streaming processing provides opportunities to deal with extremely large and ever growing data sets in (near) real time, the development of streaming algorithms for complex models is often cumbersome: the software packages that facilitate streaming processing in production environments do not provide statisticians with the simulation, estimation, and plotting tools they are used to. Developers of streaming algorithms would thus benefit from the flexibility of [R] to create, plot and compute data while developing streaming algorithms. Package RStorm implements a streaming architecture modeled on Storm for easy development and testing of streaming algorithms in [R]. RStorm is not intended as a production package, but rather a development tool for streaming algorithms.
How to cite:
Maurits Kaptein (2013). RStorm: Simulate and Develop Streaming Processing. R package version 1.0, https://cran.r-project.org/web/packages/RStorm. Accessed 16 Apr. 2025.
Other packages that cited RStorm R package
View RStorm citation profile
Other R packages that RStorm depends,
imports, suggests or enhances
Functions, R codes and Examples using
the RStorm R package
Some associated functions: AddBolt . AddFinalize . Bolt . ChangeSpout . Emit . GetHash . GetHashList . GetHashNames . GetTrack . GetTrackNames . RStorm.env . RStream-package . RStream . SetHash . ShowFinalize . Topology . TrackRow . Tuple . sentences .
Some associated R codes: bolt.R . hashmap.R . rstorm.R . topology.R . tracking.R . tuple.R . Full RStorm package functions and examples
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