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:	0.3.0
Depends:	R (≥ 2.15.1)
Imports:	Rcpp
LinkingTo:	Rcpp
Suggests:	zoo, testthat
Published:	2018-06-05
Author:	Kevin Ushey
Maintainer:	Kevin Ushey <kevinushey at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	RcppRoll results

Documentation:

Reference manual:

RcppRoll.pdf

Downloads:

Package source:	RcppRoll_0.3.0.tar.gz
Windows binaries:	r-devel: RcppRoll_0.3.0.zip, r-release: RcppRoll_0.3.0.zip, r-oldrel: RcppRoll_0.3.0.zip
macOS binaries:	r-release (arm64): RcppRoll_0.3.0.tgz, r-oldrel (arm64): RcppRoll_0.3.0.tgz, r-release (x86_64): RcppRoll_0.3.0.tgz, r-oldrel (x86_64): RcppRoll_0.3.0.tgz
Old sources:	RcppRoll archive

Reverse dependencies:

Reverse depends:	ChIPanalyser
Reverse imports:	autoTS, climwin, DMRcaller, DMRScan, exdex, fasstr, heatwaveR, highfrequency, ICtest, IDF, irg, lacunaritycovariance, mem, oddstream, PAMmisc, sentometrics, Signac, tbma, tsensembler, tsfeatures, TSS.RESTREND, TwoRegression
Reverse suggests:	ChemoSpec2D, dvmisc, recipes

Linking:

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