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CRAN: Package kssa

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: 0.0.1 Depends: R (≥ 4.0) Imports: magrittr, ggplot2, rlang, methods, forecast, imputeTS, stats, zoo, Metrics, dplyr, missMethods Suggests: covr, testthat (≥ 3.0.0) Published: 2022-06-21 DOI: 10.32614/CRAN.package.kssa Author: Iván Felipe Benavides [aut, cre, cph], Steffen Moritz [aut], Brayan-David Aroca-Gonzalez [aut], Jhoana Romero [aut], Marlon Santacruz [aut], John-Josephraj Selvaraj [aut] Maintainer: Iván Felipe Benavides <pipeben at gmail.com> BugReports: https://github.com/pipeben/kssa/issues License: AGPL (≥ 3) URL: https://github.com/pipeben/kssa NeedsCompilation: no Materials: README, NEWS CRAN checks: kssa results [issues need fixing before 2025-09-01]

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