Package: Ghost 0.1.0
Ghost: Missing Data Segments Imputation in Multivariate Streams
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) <doi:10.1109/TKDE.2019.2914653>.
Authors:
Ghost_0.1.0.tar.gz
Ghost_0.1.0.zip(r-4.5)Ghost_0.1.0.zip(r-4.4)Ghost_0.1.0.zip(r-4.3)
Ghost_0.1.0.tgz(r-4.4-any)Ghost_0.1.0.tgz(r-4.3-any)
Ghost_0.1.0.tar.gz(r-4.5-noble)Ghost_0.1.0.tar.gz(r-4.4-noble)
Ghost_0.1.0.tgz(r-4.4-emscripten)Ghost_0.1.0.tgz(r-4.3-emscripten)
Ghost.pdf |Ghost.html✨
Ghost/json (API)
| # Install 'Ghost' in R: |
| install.packages('Ghost', repos = c('https://siyavashshabani.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/siyavashshabani/ghost/issues
Last updated 5 years agofrom:71aa751ef4. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | NOTE | Nov 23 2024 |
| R-4.5-linux | NOTE | Nov 23 2024 |
| R-4.4-win | NOTE | Nov 23 2024 |
| R-4.4-mac | NOTE | Nov 23 2024 |
| R-4.3-win | NOTE | Nov 23 2024 |
| R-4.3-mac | NOTE | Nov 23 2024 |
Exports:reconstructsaxTransform
Dependencies:R6
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| reconstruct: Missing Data Segments Imputation in Multivariate Streams | reconstruct |
| saxTransform | saxTransform |
