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