Package: kssa 0.0.1

kssa: Known Sub-Sequence Algorithm

Implements the Known Sub-Sequence Algorithm <doi:10.1016/j.aaf.2021.12.013>, which helps to automatically identify and validate the best method for missing data imputation in a time series. Supports the comparison of multiple state-of-the-art algorithms.

Authors:Iván Felipe Benavides [aut, cre, cph], Steffen Moritz [aut], Brayan-David Aroca-Gonzalez [aut], Jhoana Romero [aut], Marlon Santacruz [aut], John-Josephraj Selvaraj [aut]

kssa_0.0.1.tar.gz
kssa_0.0.1.zip(r-4.5)kssa_0.0.1.zip(r-4.4)kssa_0.0.1.zip(r-4.3)
kssa_0.0.1.tgz(r-4.4-any)kssa_0.0.1.tgz(r-4.3-any)
kssa_0.0.1.tar.gz(r-4.5-noble)kssa_0.0.1.tar.gz(r-4.4-noble)
kssa_0.0.1.tgz(r-4.4-emscripten)kssa_0.0.1.tgz(r-4.3-emscripten)
kssa.pdf |kssa.html
kssa/json (API)
NEWS

# Install 'kssa' in R:
install.packages('kssa', repos = c('https://pipeben.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pipeben/kssa/issues

On CRAN:

4 exports 2 stars 1.01 score 62 dependencies 1 scripts 124 downloads

Last updated 2 years agofrom:774a8a6b91. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:%>%get_imputationskssakssa_plot

Dependencies:clicolorspacecommonmarkcurldplyrfansifarverforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelmtestmagrittrmarkdownMASSMatrixMetricsmgcvmissMethodsmunsellmvtnormnlmennetpillarpkgconfigpngquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalesstinepackstringistringrtibbletidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxfunxml2xtszoo