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-4.5)RcppUTS_0.0.1.zip(r-4.4)RcppUTS_0.0.1.zip(r-4.3)
RcppUTS_0.0.1.tgz(r-4.4-arm64)RcppUTS_0.0.1.tgz(r-4.4-x86_64)RcppUTS_0.0.1.tgz(r-4.3-arm64)RcppUTS_0.0.1.tgz(r-4.3-x86_64)
RcppUTS_0.0.1.tar.gz(r-4.5-noble)RcppUTS_0.0.1.tar.gz(r-4.4-noble)
RcppUTS_0.0.1.tgz(r-4.4-emscripten)RcppUTS_0.0.1.tgz(r-4.3-emscripten)
RcppUTS.pdf |RcppUTS.html✨
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 6 years agofrom:82485ad74f
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 |
