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SEI
View on CRAN: Click
here
Download and install SEI package within the R console
Install from CRAN:
install.packages("SEI")
Install from Github:
library("remotes")
install_github("cran/SEI")
Install by package version:
library("remotes")
install_version("SEI", "0.2.0")
Attach the package and use:
library("SEI")
Maintained by
Sam Allen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SEI . https://github.com/noeliaof/SEI . https://noeliaof.github.io/SEI/ . SEI results . SEI.pdf . SEI_0.2.0.tar.gz . SEI_0.2.0.zip . SEI_0.2.0.zip . SEI_0.2.0.zip . SEI_0.2.0.tgz . SEI_0.2.0.tgz . SEI_0.2.0.tgz . SEI_0.2.0.tgz . SEI_0.2.0.tgz . SEI_0.2.0.tgz . SEI archive . https://CRAN.R-project.org/package=SEI .
First Published: 2023-11-14
Latest Update: 2024-01-26
Description:
Convert a time series of observations to a time series of standardised indices that can be used to monitor variables on a common and probabilistically interpretable scale. The indices can be aggregated and rescaled to different time scales, visualised using plot capabilities, and calculated using a range of distributions. This includes flexible non- and semi-parametric methods, as suggested by Allen and Otero (2023) .
How to cite:
Sam Allen (2023). SEI: Calculating Standardised Indices. R package version 0.2.0, https://cran.r-project.org/web/packages/SEI. Accessed 22 Feb. 2025.
Other packages that cited SEI R package
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imports, suggests or enhances
Complete documentation for SEI
Functions, R codes and Examples using
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functions and examples
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