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
RcppUTS_0.0.1.zip(r-4.7-x86_64)RcppUTS_0.0.1.zip(r-4.7-arm64)RcppUTS_0.0.1.zip(r-4.6-x86_64)RcppUTS_0.0.1.zip(r-4.6-arm64)RcppUTS_0.0.1.zip(r-4.5-x86_64)
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✨
DESCRIPTION
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

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

On CRAN:

Conda:

cpp

2.60 score 8 stars 18 exports 1 dependencies

Last updated from:82485ad74f. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE86
linux-devel-x86_64NOTE110
source / vignettesOK237
linux-release-arm64NOTE72
linux-release-x86_64NOTE96
macos-release-arm64NOTE103
macos-release-x86_64NOTE243
macos-oldrel-arm64NOTE123
macos-oldrel-x86_64NOTE230
windows-devel-arm64NOTE181
windows-devel-x86_64NOTE136
windows-release-arm64NOTE200
windows-release-x86_64NOTE93
windows-oldrel-x86_64NOTE89
wasm-releaseOK90

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