doi:10.1016/j.aaf.2021.12.013>, which helps to automatically identify and validate the best method for missing data imputation in a time series. Supports the comparison of multiple state-of-the-art algorithms.">

kssa: Known Sub-Sequence Algorithm (original) (raw)

Implements the Known Sub-Sequence Algorithm <doi:10.1016/j.aaf.2021.12.013>, which helps to automatically identify and validate the best method for missing data imputation in a time series. Supports the comparison of multiple state-of-the-art algorithms.

Version: 0.0.5
Depends: R (≥ 4.0)
Imports: magrittr, ggplot2, rlang, methods, forecast, imputeTS, stats, zoo, Metrics, dplyr, missMethods
Suggests: covr, testthat (≥ 3.0.0)
Published: 2025-09-01
DOI: 10.32614/CRAN.package.kssa
Author: Iván Felipe BenavidesORCID iD [aut, cre, cph], Steffen Moritz ORCID iD [aut], Brayan-David Aroca-GonzalezORCID iD [aut], Jhoana Romero ORCID iD [aut], Marlon Santacruz ORCID iD [aut], John-Josephraj SelvarajORCID iD [aut]
Maintainer: Iván Felipe Benavides
BugReports: https://github.com/steffenmoritz/kssa/issues
License: AGPL (≥ 3)
URL: https://github.com/steffenmoritz/kssa,https://steffenmoritz.github.io/kssa/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: kssa results

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