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.

Getting started

Package details

AuthorIván Felipe Benavides [aut, cre, cph] (<https://orcid.org/0000-0002-1139-3909>), Steffen Moritz [aut] (<https://orcid.org/0000-0002-0085-1804>), Brayan-David Aroca-Gonzalez [aut] (<https://orcid.org/0000-0002-7365-5740>), Jhoana Romero [aut] (<https://orcid.org/0000-0002-1834-3461>), Marlon Santacruz [aut] (<https://orcid.org/0000-0003-2242-742X>), John-Josephraj Selvaraj [aut] (<https://orcid.org/0000-0002-9195-4883>)
MaintainerIván Felipe Benavides <pipeben@gmail.com>
LicenseAGPL (>= 3)
Version0.0.1
URL https://github.com/pipeben/kssa
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("kssa")

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kssa documentation built on June 22, 2022, 1:05 a.m.