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Ghost  

Missing Data Segments Imputation in Multivariate Streams
View on CRAN: Click here


Download and install Ghost package within the R console
Install from CRAN:
install.packages("Ghost")

Install from Github:
library("remotes")
install_github("cran/Ghost")

Install by package version:
library("remotes")
install_version("Ghost", "0.1.0")



Attach the package and use:
library("Ghost")
Maintained by
Siyavash Shabani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-25
Latest Update: 2020-03-25
Description:
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) .
How to cite:
Siyavash Shabani (2020). Ghost: Missing Data Segments Imputation in Multivariate Streams. R package version 0.1.0, https://cran.r-project.org/web/packages/Ghost. Accessed 10 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited Ghost R package
View Ghost citation profile
Other R packages that Ghost depends, imports, suggests or enhances
Complete documentation for Ghost
Functions, R codes and Examples using the Ghost R package
Some associated functions: HTCls . MissCls . addtoList . appendOffset . check . chr . constraint_check . countNulls . exactidentical.norowname . hasNullRow . ht . identical.norowname . out_csv . reconstruct . resolveNoSignal_revised . saxTransform . sax_test . slidewindow . test_ghost_csv . write2file_revised . 
Some associated R codes: ghost_packages.R .  Full Ghost package functions and examples
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