Ghost (0.1.0)

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Missing Data Segments Imputation in Multivariate Streams.

https://www.researchgate.net/publication/332779980_Ghost_Imputation_Accurately_Reconstructing_Missing_Data_of_the_Off_Period
http://cran.r-project.org/web/packages/Ghost

Helper functions provide an accurate imputation algorithm for reconstructing the missing segment in a multi-variate data streams. Inspired by single-shot learning, it reconstructs the missing segment by identifying the first similar segment in the stream. Nevertheless, there should be one column of data available, i.e. a constraint column. The values of columns can be characters (A, B, C, etc.). The result of the imputed dataset will be returned a .csv file. For more details see Reza Rawassizadeh (2019) .

Maintainer: Siyavash Shabani
Author(s): Siyavash Shabani, Reza Rawassizadeh

License: GPL-3

Uses: R6

Released 9 days ago.


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