Package: RcppStreams 0.1.4

RcppStreams: 'Rcpp' Integration of the 'Streamulus' 'DSEL' for Stream Processing

The 'Streamulus' (template, header-only) library by Irit Katriel (at <https://github.com/iritkatriel/streamulus>) provides a very powerful yet convenient framework for stream processing. This package connects 'Streamulus' to R by providing both the header files and all examples.

Authors:Dirk Eddelbuettel [aut, cre], Irit Katriel [aut]

RcppStreams_0.1.4.tar.gz
RcppStreams_0.1.4.zip(r-4.7)RcppStreams_0.1.4.zip(r-4.6)RcppStreams_0.1.4.zip(r-4.5)
RcppStreams_0.1.4.tgz(r-4.6-x86_64)RcppStreams_0.1.4.tgz(r-4.6-arm64)RcppStreams_0.1.4.tgz(r-4.5-x86_64)RcppStreams_0.1.4.tgz(r-4.5-arm64)
RcppStreams_0.1.4.tar.gz(r-4.7-arm64)RcppStreams_0.1.4.tar.gz(r-4.7-x86_64)RcppStreams_0.1.4.tar.gz(r-4.6-arm64)RcppStreams_0.1.4.tar.gz(r-4.6-x86_64)
RcppStreams_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RcppStreams/json (API)
NEWS

# Install 'RcppStreams' in R:
install.packages('RcppStreams', repos = c('https://eddelbuettel.r-universe.dev', 'https://cloud.r-project.org'))

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

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

On CRAN:

Conda:

cpp

3.23 score 17 stars 4 scripts 24 downloads 4 exports 2 dependencies

Last updated from:d30dd349c3. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK136
linux-devel-x86_64OK138
source / vignettesOK198
linux-release-arm64OK132
linux-release-x86_64OK142
macos-release-arm64OK111
macos-release-x86_64OK235
macos-oldrel-arm64OK123
macos-oldrel-x86_64OK224
windows-develOK151
windows-releaseOK191
windows-oldrelOK195
wasm-releaseOK140

Exports:commonSubexpressionscrossAlerthelloStreamslidingWindow

Dependencies:BHRcpp