Package: RcppRoll 0.4.0
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:
RcppRoll_0.4.0.tar.gz
RcppRoll_0.4.0.zip(r-4.7-x86_64)RcppRoll_0.4.0.zip(r-4.7-arm64)RcppRoll_0.4.0.zip(r-4.6-x86_64)RcppRoll_0.4.0.zip(r-4.6-arm64)
RcppRoll_0.4.0.tar.gz(r-4.7-arm64)RcppRoll_0.4.0.tar.gz(r-4.7-x86_64)RcppRoll_0.4.0.tar.gz(r-4.6-arm64)RcppRoll_0.4.0.tar.gz(r-4.6-x86_64)
RcppRoll_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RcppRoll/json (API)
| # Install 'RcppRoll' in R: |
| install.packages('RcppRoll', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kevinushey/rcpproll/issues
Pkgdown/docs site:https://kevinushey.github.io
Last updated from:6f5ff86950. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 126 | ||
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 208 | ||
| linux-release-arm64 | OK | 164 | ||
| linux-release-x86_64 | OK | 138 | ||
| windows-devel-arm64 | OK | 172 | ||
| windows-devel-x86_64 | OK | 124 | ||
| windows-release-arm64 | OK | 201 | ||
| windows-release-x86_64 | OK | 99 | ||
| wasm-release | OK | 105 |
Exports:roll_maxroll_maxlroll_maxrroll_meanroll_meanlroll_meanrroll_medianroll_medianlroll_medianrroll_minroll_minlroll_minrroll_prodroll_prodlroll_prodrroll_sdroll_sdlroll_sdrroll_sumroll_sumlroll_sumrroll_threadsroll_varroll_varlroll_varr
Dependencies:
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 |
| Report the Number of Threads Used for Rolling Computations | roll_threads |
