This package is considered a duplicate. The official version of this package is found at:https://kevinushey.r-universe.dev/RcppRoll

Package: RcppRoll 0.3.1.9000

Kevin Ushey

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.

Authors:Kevin Ushey

RcppRoll_0.3.1.9000.tar.gz
RcppRoll_0.3.1.9000.zip(r-4.5)RcppRoll_0.3.1.9000.zip(r-4.4)RcppRoll_0.3.1.9000.zip(r-4.3)
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RcppRoll.pdf |RcppRoll.html✨
RcppRoll/json (API)
NEWS

# Install 'RcppRoll' in R:

install.packages('RcppRoll', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kevinushey/rcpproll/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

10.90 score 83 stars 61 packages 1.5k scripts 36k downloads 2 mentions 24 exports 1 dependencies

Last updated 5 months agofrom:21f13e7898. Checks:OK: 9. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 04 2024
R-4.5-win-x86_64	OK	Nov 04 2024
R-4.5-linux-x86_64	OK	Nov 04 2024
R-4.4-win-x86_64	OK	Nov 04 2024
R-4.4-mac-x86_64	OK	Nov 04 2024
R-4.4-mac-aarch64	OK	Nov 04 2024
R-4.3-win-x86_64	OK	Nov 04 2024
R-4.3-mac-x86_64	OK	Nov 04 2024
R-4.3-mac-aarch64	OK	Nov 04 2024

Exports:roll_max roll_maxl roll_maxr roll_mean roll_meanl roll_meanr roll_median roll_medianl roll_medianr roll_min roll_minl roll_minr roll_prod roll_prodl roll_prodr roll_sd roll_sdl roll_sdr roll_sum roll_suml roll_sumr roll_var roll_varl roll_varr

Dependencies:Rcpp

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
RcppRoll	RcppRoll-package RcppRoll
RcppRoll	RcppRoll-exports roll_max roll_maxl roll_maxr roll_mean roll_meanl roll_meanr roll_median roll_medianl roll_medianr roll_min roll_minl roll_minr roll_prod roll_prodl roll_prodr roll_sd roll_sdl roll_sdr roll_sum roll_suml roll_sumr roll_var roll_varl roll_varr