Package: IMW 1.1

IMW: Incremental Moment Windows

Computes rolling statistics, including the mean, variance, skewness, and kurtosis, over moving windows. The package uses incremental algorithms to efficiently update statistics as new observations arrive, supporting both online computation and batch processing for time-series analysis and streaming data applications. Implemented in C++, the package provides a high-performance, header-only implementation that facilitates direct integration into other packages.

Authors:Søren B. Vilsen [aut, cre]

IMW_1.1.tar.gz
IMW_1.1.zip(r-4.7-x86_64)IMW_1.1.zip(r-4.7-arm64)IMW_1.1.zip(r-4.6-x86_64)IMW_1.1.zip(r-4.6-arm64)IMW_1.1.zip(r-4.5-x86_64)
IMW_1.1.tgz(r-4.6-x86_64)IMW_1.1.tgz(r-4.6-arm64)IMW_1.1.tgz(r-4.5-x86_64)IMW_1.1.tgz(r-4.5-arm64)
IMW_1.1.tar.gz(r-4.7-arm64)IMW_1.1.tar.gz(r-4.7-x86_64)IMW_1.1.tar.gz(r-4.6-arm64)IMW_1.1.tar.gz(r-4.6-x86_64)
IMW_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
IMW/json (API)

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

Bug tracker:https://github.com/svilsen/imw/issues

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

On CRAN:

Conda:

cpp

3.18 score 6 downloads 5 exports 1 dependencies

Last updated from:916d2d9fad. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK104
linux-devel-x86_64OK129
source / vignettesOK220
linux-release-arm64OK98
linux-release-x86_64OK119
macos-release-arm64OK165
macos-release-x86_64OK374
macos-oldrel-arm64OK172
macos-oldrel-x86_64OK307
windows-devel-arm64OK331
windows-devel-x86_64OK119
windows-release-arm64OK365
windows-release-x86_64OK87
windows-oldrel-x86_64OK91
wasm-releaseOK95

Exports:imwkurtosisskewnessuimwvariance

Dependencies:Rcpp