kssa: Known Sub-Sequence Algorithm
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 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/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 |
Documentation:
| Reference manual: | kssa.html ,kssa.pdf |
Downloads:
| Package source: | kssa_0.0.5.tar.gz |
| Windows binaries: | r-devel:kssa_0.0.5.zip, r-release:kssa_0.0.5.zip, r-oldrel:kssa_0.0.5.zip |
| macOS binaries: | r-release (arm64):kssa_0.0.5.tgz, r-oldrel (arm64):kssa_0.0.5.tgz, r-release (x86_64):kssa_0.0.5.tgz, r-oldrel (x86_64):kssa_0.0.5.tgz |
| Old sources: | kssa archive |
Linking:
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