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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