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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: |
0.0.1 |
| 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 |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=kssa
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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