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MazamaRollUtils: Efficient Rolling Functions

Fast rolling-window functions for numeric vectors. Designed for efficient processing of environmental time-series data.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.10)
LinkingTo: Rcpp
Suggests: knitr, markdown, rmarkdown, roxygen2, testthat (≥ 3.2.0), zoo
Published: 2026-03-17
DOI: 10.32614/CRAN.package.MazamaRollUtils
Author: Jonathan Callahan [aut, cre], Hans Martin [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan at gmail.com>
BugReports: https://github.com/MazamaScience/MazamaRollUtils/issues
License: GPL-3
URL: https://github.com/MazamaScience/MazamaRollUtils, https://mazamascience.github.io/MazamaRollUtils/
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: MazamaRollUtils results

Documentation:

Reference manual: MazamaRollUtils.html , MazamaRollUtils.pdf
Vignettes: Introduction to MazamaRollUtils (source, R code)

Downloads:

Package source: MazamaRollUtils_1.0.0.tar.gz
Windows binaries: r-devel: MazamaRollUtils_1.0.0.zip, r-release: MazamaRollUtils_1.0.0.zip, r-oldrel: MazamaRollUtils_1.0.0.zip
macOS binaries: r-release (arm64): MazamaRollUtils_1.0.0.tgz, r-oldrel (arm64): MazamaRollUtils_1.0.0.tgz, r-release (x86_64): MazamaRollUtils_1.0.0.tgz, r-oldrel (x86_64): MazamaRollUtils_1.0.0.tgz
Old sources: MazamaRollUtils archive

Reverse dependencies:

Reverse imports: AirMonitor, MazamaTimeSeries

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.