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:Siyavash Shabani, Reza Rawassizadeh

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'))

Peer review:

Bug tracker:https://github.com/siyavashshabani/ghost/issues

Datasets:

    On CRAN:

    2 exports 6 stars 1.70 score 1 dependencies 3 mentions 5 scripts 135 downloads

    Last updated 4 years agofrom:71aa751ef4. Checks:OK: 1 NOTE: 6. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKAug 25 2024
    R-4.5-winNOTEAug 25 2024
    R-4.5-linuxNOTEAug 25 2024
    R-4.4-winNOTEAug 25 2024
    R-4.4-macNOTEAug 25 2024
    R-4.3-winNOTEAug 25 2024
    R-4.3-macNOTEAug 25 2024

    Exports:reconstructsaxTransform

    Dependencies:R6