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: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, xts, zoo, fitdistrplus |
| Suggests: | knitr, lubridate, dplyr, gridExtra, testthat (≥ 3.0.0) |
| Published: | 2023-11-14 |
| 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_0.1.0.tar.gz |
| Windows binaries: | r-devel: SEI_0.1.0.zip, r-release: SEI_0.1.0.zip, r-oldrel: SEI_0.1.0.zip |
| macOS binaries: | r-release (arm64): SEI_0.1.0.tgz, r-oldrel (arm64): SEI_0.1.0.tgz, r-release (x86_64): SEI_0.1.0.tgz, r-oldrel (x86_64): not available |
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