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 |
| 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:
| Reference manual: | kssa.pdf |
Downloads:
| Package source: | kssa_0.0.1.tar.gz |
| Windows binaries: | r-prerel: kssa_0.0.1.zip, r-release: kssa_0.0.1.zip, r-oldrel: kssa_0.0.1.zip |
| macOS binaries: | r-prerel (arm64): kssa_0.0.1.tgz, r-release (arm64): kssa_0.0.1.tgz, r-oldrel (arm64): kssa_0.0.1.tgz, r-prerel (x86_64): kssa_0.0.1.tgz, r-release (x86_64): kssa_0.0.1.tgz |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=kssa to link to this page.