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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SEI to link to this page.
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