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SEI: Calculating Standardised Indices

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-parametric and non-stationary methods.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, xts, zoo, fitdistrplus, flexsurv, gamlss, gamlss.dist, lmom
Suggests: knitr, lubridate, dplyr, gridExtra, testthat (≥ 3.0.0)
Published: 2024-08-27
DOI: 10.32614/CRAN.package.SEI
Author: Sam Allen [aut, cre], Noelia Otero [aut]
Maintainer: Sam Allen <sam.allen at stat.math.ethz.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/noeliaof/SEI, https://noeliaof.github.io/SEI/
NeedsCompilation: no
Materials: README
CRAN checks: SEI results

Documentation:

Reference manual: SEI.pdf
Vignettes: Standardised Energy Indices (source, R code)

Downloads:

Package source: SEI_0.2.0.tar.gz
Windows binaries: r-devel: SEI_0.2.0.zip, r-release: SEI_0.2.0.zip, r-oldrel: SEI_0.2.0.zip
macOS binaries: r-release (arm64): SEI_0.2.0.tgz, r-oldrel (arm64): SEI_0.2.0.tgz, r-release (x86_64): SEI_0.2.0.tgz, r-oldrel (x86_64): SEI_0.2.0.tgz
Old sources: SEI archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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