RcppRoll: Efficient Rolling / Windowed Operations

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.

Version: 0.2.2
Depends: R (≥ 2.15.1)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: zoo, microbenchmark, testthat, RcppArmadillo
Published: 2015-04-05
Author: Kevin Ushey
Maintainer: Kevin Ushey <kevinushey at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: RcppRoll results


Reference manual: RcppRoll.pdf
Package source: RcppRoll_0.2.2.tar.gz
Windows binaries: r-devel: RcppRoll_0.2.2.zip, r-release: RcppRoll_0.2.2.zip, r-oldrel: RcppRoll_0.2.2.zip
OS X binaries: r-release: RcppRoll_0.2.2.tgz, r-oldrel: RcppRoll_0.2.2.tgz
Old sources: RcppRoll archive

Reverse dependencies:

Reverse imports: climwin, flippant, recipes, rENA, sentometrics, tsensembler, TSS.RESTREND


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