Package: RcppRoll 0.3.0

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_0.3.0.tar.gz
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RcppRoll.pdf |RcppRoll.html✨
RcppRoll/json (API)
NEWS

# Install RcppRoll in R:
install.packages('RcppRoll', repos = c('https://kevinushey.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

24 exports 81 stars 7.15 score 1 dependencies 117 dependents 2 mentions 34.8k downloads

Last updated 3 years agofrom:2c8e09eb7283524641e31f1bfa49c1de90a11bbf

Exports:roll_maxroll_maxlroll_maxrroll_meanroll_meanlroll_meanrroll_medianroll_medianlroll_medianrroll_minroll_minlroll_minrroll_prodroll_prodlroll_prodrroll_sdroll_sdlroll_sdrroll_sumroll_sumlroll_sumrroll_varroll_varlroll_varr

Dependencies:Rcpp

Readme and manuals

Help Manual

Help pageTopics
RcppRollRcppRoll-package RcppRoll
RcppRollRcppRoll-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