Package: RcppUTS 0.0.1
RcppUTS: Rcpp Bindings for Algorithms for Unevenly Spaced Time Series
Algorithms and operators for unevenly-spaced time series are provided based on the 'UTS' library by Andreas Eckner.
Authors:
RcppUTS_0.0.1.tar.gz
RcppUTS_0.0.1.zip(r-4.7)RcppUTS_0.0.1.zip(r-4.6)RcppUTS_0.0.1.zip(r-4.5)
RcppUTS_0.0.1.tgz(r-4.6-x86_64)RcppUTS_0.0.1.tgz(r-4.6-arm64)RcppUTS_0.0.1.tgz(r-4.5-x86_64)RcppUTS_0.0.1.tgz(r-4.5-arm64)
RcppUTS_0.0.1.tar.gz(r-4.7-arm64)RcppUTS_0.0.1.tar.gz(r-4.7-x86_64)RcppUTS_0.0.1.tar.gz(r-4.6-arm64)RcppUTS_0.0.1.tar.gz(r-4.6-x86_64)
RcppUTS_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RcppUTS/json (API)
| # Install 'RcppUTS' in R: |
| install.packages('RcppUTS', repos = c('https://eddelbuettel.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/eddelbuettel/rcpputs/issues
Last updated from:82485ad74f. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 133 | ||
| linux-devel-x86_64 | NOTE | 110 | ||
| source / vignettes | OK | 157 | ||
| linux-release-arm64 | NOTE | 119 | ||
| linux-release-x86_64 | NOTE | 105 | ||
| macos-release-arm64 | NOTE | 109 | ||
| macos-release-x86_64 | NOTE | 196 | ||
| macos-oldrel-arm64 | NOTE | 100 | ||
| macos-oldrel-x86_64 | NOTE | 157 | ||
| windows-devel | NOTE | 102 | ||
| windows-release | NOTE | 99 | ||
| windows-oldrel | NOTE | 97 | ||
| wasm-release | OK | 103 |
Exports:EMAlastEMAlinearEMAnextrollingCentralMomentrollingMaxrollingMeanrollingMedianrollingMinrollingNobsrollingProductrollingSDrollingSumrollingSumStablerollingVarSMAlastSMAlinearSMAnextutsExample
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Rcpp Bindings for Algorithms for Unevenly Spaced Time Series | RcppUTS-package RcppUTS |
| EMA functions for unevenly spaced time series | EMAlast EMAlinear EMAnext |
| Rolling operations functions for irregularly spaced time series | rollingCentralMoment rollingMax rollingMean rollingMedian rollingMin rollingNobs rollingProduct rollingSD rollingSum rollingSumStable rollingVar |
| SMA functions for unevenly spaced time series | SMAlast SMAlinear SMAnext |
| Irregularly spaced time series example | utsExample |
