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deadband  

Statistical Deadband Algorithms Comparison
View on CRAN: Click here


Download and install deadband package within the R console
Install from CRAN:
install.packages("deadband")

Install from Github:
library("remotes")
install_github("cran/deadband")

Install by package version:
library("remotes")
install_version("deadband", "0.1.0")



Attach the package and use:
library("deadband")
Maintained by
Nunzio Torrisi
[Scholar Profile | Author Map]
First Published: 2016-09-12
Latest Update: 2016-09-12
Description:
Statistical deadband algorithms are based on the Send-On-Delta concept as in Miskowicz(2006,). A collection of functions compare effectiveness and fidelity of sampled signals using statistical deadband algorithms.
How to cite:
Nunzio Torrisi (2016). deadband: Statistical Deadband Algorithms Comparison. R package version 0.1.0, https://cran.r-project.org/web/packages/deadband. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited deadband R package
View deadband citation profile
Other R packages that deadband depends, imports, suggests or enhances
Complete documentation for deadband
Functions, R codes and Examples using the deadband R package
Some associated functions: deadbandAD . deadbandBD . deadbandVD . synthetic.sub35 . synthetic.sub40 . synthetic.sub42 . synthetic.sub50 . 
Some associated R codes: data.R . deadbandAD.R . deadbandBD.R . deadbandVD.R .  Full deadband package functions and examples
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