Package: kssa 0.0.2

Iván Felipe Benavides

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_0.0.2.tar.gz
kssa_0.0.2.zip(r-4.7)kssa_0.0.2.zip(r-4.6)kssa_0.0.2.zip(r-4.5)
kssa_0.0.2.tgz(r-4.6-any)kssa_0.0.2.tgz(r-4.5-any)
kssa_0.0.2.tar.gz(r-4.7-any)kssa_0.0.2.tar.gz(r-4.6-any)
kssa_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
kssa/json (API)

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

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

Pkgdown/docs site:https://steffenmoritz.github.io

On CRAN:

Conda:

3.78 score 3 stars 3 scripts 139 downloads 4 exports 54 dependencies

Last updated from:8cb245dc47. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK156
source / vignettesOK240
linux-release-x86_64OK177
macos-release-arm64OK202
macos-oldrel-arm64OK216
windows-develOK96
windows-releaseOK94
windows-oldrelOK100
wasm-releaseOK125

Exports:%>%get_imputationskssakssa_plot

Dependencies:clicolorspacecommonmarkcpp11curldplyrfarverforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpeglabelinglatticelifecyclelitedownlmtestmagrittrmarkdownMetricsmissMethodsmvtnormnlmennetpillarpkgconfigpngR6RColorBrewerRcppRcppArmadillorlangS7scalesstinepackstringistringrtibbletidyselecttimeDateurcautf8vctrsviridisLitewithrxfunxml2zoo