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- 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
Author: Sam Allen [aut, cre], Noelia Otero [aut]
Maintainer: Sam Allen <sam.allen at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): SEI_0.1.1.tgz, r-release (arm64): SEI_0.1.1.tgz, r-oldrel (arm64): SEI_0.1.1.tgz, r-prerel (x86_64): SEI_0.1.1.tgz, r-release (x86_64): SEI_0.1.1.tgz
Old sources: SEI archive


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