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Known Subsequence Algorithm

The Known Subsequence Algorithm (KSSA) helps to compare and validate the performance of different imputation methods for univariate time series. It was created by Benavides et al (2022) at the Institute of Pacific Studies from Universidad Nacional de Colombia with assistance from collaborators from University of Manitoba and the Statistiches Bundesamt of Germany.

R package

KSSA is implemented as a R-package in the Comprehensive R Archive Network (CRAN) https://cran.r-project.org/web/packages/kssa/index.html

Installation and usage

For installation and usage please visit https://cran.r-project.org/web/packages/kssa/readme/README.html

References