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)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
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:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE119
linux-devel-x86_64NOTE113
source / vignettesOK216
linux-release-arm64NOTE137
linux-release-x86_64NOTE110
macos-release-arm64NOTE77
macos-release-x86_64NOTE185
macos-oldrel-arm64NOTE74
macos-oldrel-x86_64NOTE191
windows-develNOTE97
windows-releaseNOTE100
windows-oldrelNOTE96
wasm-releaseOK138

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