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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) <doi:10.1016/j.renene.2023.119206>.
Version: | 0.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | ggplot2, xts, zoo, fitdistrplus |
Suggests: | knitr, lubridate, dplyr, gridExtra, testthat (≥ 3.0.0) |
Published: | 2024-01-26 |
DOI: | 10.32614/CRAN.package.SEI |
Author: | Sam Allen [aut, cre], Noelia Otero [aut] |
Maintainer: | Sam Allen <sam.allen at unibe.ch> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/noeliaof/SEI |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | SEI results |
Reference manual: | SEI.pdf |
Vignettes: |
Standardised Energy Indices |
Package source: | SEI_0.1.1.tar.gz |
Windows binaries: | r-devel: SEI_0.1.1.zip, r-release: SEI_0.1.1.zip, r-oldrel: SEI_0.1.1.zip |
macOS binaries: | r-release (arm64): SEI_0.1.1.tgz, r-oldrel (arm64): SEI_0.1.1.tgz, r-release (x86_64): SEI_0.1.1.tgz, r-oldrel (x86_64): SEI_0.1.1.tgz |
Old sources: | SEI archive |
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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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