Package: deadband 0.1.0

deadband: Statistical Deadband Algorithms Comparison

Statistical deadband algorithms are based on the Send-On-Delta concept as in Miskowicz(2006,<doi:10.3390/s6010049>). A collection of functions compare effectiveness and fidelity of sampled signals using statistical deadband algorithms.

Authors:Nunzio Torrisi

deadband_0.1.0.tar.gz
deadband_0.1.0.zip(r-4.7-any)deadband_0.1.0.zip(r-4.6-any)deadband_0.1.0.zip(r-4.5-any)
deadband_0.1.0.tgz(r-4.6-any)deadband_0.1.0.tgz(r-4.5-any)
deadband_0.1.0.tar.gz(r-4.7-any)deadband_0.1.0.tar.gz(r-4.6-any)
deadband_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
deadband/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 202 downloads 3 exports 5 dependencies

Last updated from:ed8b5f0535. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK105
source / vignettesOK215
linux-releaseOK113
macos-releaseOK159
macos-oldrelOK134
windows-develOK53
windows-releaseOK64
windows-oldrelOK54
wasm-releaseOK98

Exports:deadbandADdeadbandBDdeadbandVD

Dependencies:curllatticeTTRxtszoo