Package: dymo 1.1.0
Giancarlo Vercellino
dymo: Dynamic Mode Decomposition for Multivariate Time Feature Prediction
An application of Dynamic Mode Decomposition for prediction of time features. Automatic search for the best model across the space of all possible feature combinations and ranks of Singular Value Decomposition.
Authors:
dymo_1.1.0.tar.gz
dymo_1.1.0.tar.gz(r-4.5-noble)dymo_1.1.0.tar.gz(r-4.4-noble)
dymo_1.1.0.tgz(r-4.4-emscripten)dymo_1.1.0.tgz(r-4.3-emscripten)
dymo.pdf |dymo.html✨
dymo/json (API)
NEWS
# Install 'dymo' in R: |
install.packages('dymo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- time_features - Time features example: IBM, AAPL, AMZN, GOOGL and MSFT Close Prices
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:5d879162be. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 19 2024 |
R-4.5-linux | OK | Aug 19 2024 |
Exports:dymo
Dependencies:abindaskpassbackportsbase64encbitbit64bootbroombslibcachemcarcarDataclicliprclueclustercolorspacecommonmarkcowplotcpp11crayoncurlDerivdigestdoBydplyrevaluatefANCOVAfansifarverfastmapfBasicsfontawesomeforecastfracdifffsgenericsggplot2ggtextgluegreyboxgridtextgssgtablehighrhmshtmltoolshtmlwidgetshttrimputeTSisobandjpegjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestlubridatemagrittrmarkdownMASSmatlibMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodeestmodelrmomentsmunsellnarraynlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpngpracmaprettyunitsprogresspurrrquadprogquantmodquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreadrrglrlangrmarkdownrmutilrpartsassscalesSparseMspatialstablestablediststatipstatmodstinepackstringistringrsurvivalsystexregtibbletictoctidyrtidyselecttimechangetimeDatetimeSeriestinytextseriesTTRtzdburcautf8vctrsviridisLitevroomwithrxfunxml2xtablextsyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
dymo | dymo-package dymo |
time features example: IBM, AAPL, AMZN, GOOGL and MSFT Close Prices | time_features |