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:Dirk Eddelbuettel

RcppUTS_0.0.1.tar.gz
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RcppUTS_0.0.1.tgz(r-4.4-x86_64)RcppUTS_0.0.1.tgz(r-4.4-arm64)RcppUTS_0.0.1.tgz(r-4.3-x86_64)RcppUTS_0.0.1.tgz(r-4.3-arm64)
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'))

Peer review:

Bug tracker:https://github.com/eddelbuettel/rcpputs/issues

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

On CRAN:

cpp

2.65 score 9 stars 18 exports 1 dependencies

Last updated 6 years agofrom:82485ad74f. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-win-x86_64NOTEDec 04 2024
R-4.5-linux-x86_64NOTEDec 04 2024
R-4.4-win-x86_64NOTEDec 04 2024
R-4.4-mac-x86_64NOTEDec 04 2024
R-4.4-mac-aarch64NOTEDec 04 2024
R-4.3-win-x86_64OKDec 04 2024
R-4.3-mac-x86_64OKDec 04 2024
R-4.3-mac-aarch64OKDec 04 2024

Exports:EMAlastEMAlinearEMAnextrollingCentralMomentrollingMaxrollingMeanrollingMedianrollingMinrollingNobsrollingProductrollingSDrollingSumrollingSumStablerollingVarSMAlastSMAlinearSMAnextutsExample

Dependencies:Rcpp

Readme and manuals

Help Manual

Help pageTopics
Rcpp Bindings for Algorithms for Unevenly Spaced Time SeriesRcppUTS-package RcppUTS
EMA functions for unevenly spaced time seriesEMAlast EMAlinear EMAnext
Rolling operations functions for irregularly spaced time seriesrollingCentralMoment rollingMax rollingMean rollingMedian rollingMin rollingNobs rollingProduct rollingSD rollingSum rollingSumStable rollingVar
SMA functions for unevenly spaced time seriesSMAlast SMAlinear SMAnext
Irregularly spaced time series exampleutsExample