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RcppRoll  

Efficient Rolling / Windowed Operations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RcppRoll", "0.3.1")



Attach the package and use:
library("RcppRoll")
Maintained by
Kevin Ushey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-01-15
Latest Update: 2018-06-05
Description:
Provides fast and efficient routines for common rolling / windowed operations. Routines for the efficient computation of windowed mean, median, sum, product, minimum, maximum, standard deviation and variance are provided.
How to cite:
Kevin Ushey (2013). RcppRoll: Efficient Rolling / Windowed Operations. R package version 0.3.1, https://cran.r-project.org/web/packages/RcppRoll. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2013-01-15 07:36), 0.2.2 (2015-04-05 01:21), 0.3.0 (2018-06-05 20:35)
Other packages that cited RcppRoll R package
View RcppRoll citation profile
Other R packages that RcppRoll depends, imports, suggests or enhances
Complete documentation for RcppRoll
Functions, R codes and Examples using the RcppRoll R package
Some associated functions: RcppRoll-exports . RcppRoll . 
Some associated R codes: RcppExports.R . RcppRoll-package.R . RcppRoll.R .  Full RcppRoll package functions and examples
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