Package: SEI 0.2.0

Sam Allen

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.

Authors:Sam Allen [aut, cre], Noelia Otero [aut]

SEI_0.2.0.tar.gz
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SEI.pdf |SEI.html
SEI/json (API)

# Install 'SEI' in R:
install.packages('SEI', repos = c('https://noeliaof.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/noeliaof/sei/issues

Datasets:
  • data_supply - Time series of wind and solar energy production
  • data_wind_de - Time series of average wind speed in Germany

On CRAN:

5.03 score 3 stars 12 scripts 195 downloads 6 exports 61 dependencies

Last updated 4 months agofrom:1cf2e4f459. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:aggregate_xtsfit_distget_droughtget_pitplot_seistd_index

Dependencies:assertthatbbmlebdsmatrixBHclicolorspacecpp11data.tabledeSolvedplyrfansifarverfastGHQuadfitdistrplusflexsurvgamlssgamlss.datagamlss.distgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmommagrittrMASSMatrixmgcvmstatemuhazmunsellmvtnormnlmenumDerivpillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2scalesstatmodstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxtszoo

Standardised Energy Indices

Rendered fromSEI_vignette.Rnwusingknitr::knitron Nov 22 2024.

Last update: 2024-07-25
Started: 2023-08-24