Package: utsf 1.1.0.9000
utsf: Univariate Time Series Forecasting
An engine for univariate time series forecasting using different regression models in an autoregressive way. The engine provides an uniform interface for applying the different models. Furthermore, it is extensible so that users can easily apply their own regression models to univariate time series forecasting and benefit from all the features of the engine, such as preprocessings or estimation of forecast accuracy.
Authors:
utsf_1.1.0.9000.tar.gz
utsf_1.1.0.9000.zip(r-4.5)utsf_1.1.0.9000.zip(r-4.4)utsf_1.1.0.9000.zip(r-4.3)
utsf_1.1.0.9000.tgz(r-4.5-any)utsf_1.1.0.9000.tgz(r-4.4-any)utsf_1.1.0.9000.tgz(r-4.3-any)
utsf_1.1.0.9000.tar.gz(r-4.5-noble)utsf_1.1.0.9000.tar.gz(r-4.4-noble)
utsf_1.1.0.9000.tgz(r-4.4-emscripten)utsf_1.1.0.9000.tgz(r-4.3-emscripten)
utsf.pdf |utsf.html✨
utsf/json (API)
NEWS
| # Install 'utsf' in R: |
| install.packages('utsf', repos = c('https://franciscomartinezdelrio.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/franciscomartinezdelrio/utsf/issues
Last updated 1 months agofrom:aea2052dad. Checks:6 OK, 3 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 19 2025 |
| R-4.5-win | NOTE | Mar 19 2025 |
| R-4.5-mac | NOTE | Mar 19 2025 |
| R-4.5-linux | NOTE | Mar 19 2025 |
| R-4.4-win | OK | Mar 19 2025 |
| R-4.4-mac | OK | Mar 19 2025 |
| R-4.4-linux | OK | Mar 19 2025 |
| R-4.3-win | OK | Mar 19 2025 |
| R-4.3-mac | OK | Mar 19 2025 |
Exports:build_examplesevaluationforecasttrend
Dependencies:base64encbslibcachemclassclicodetoolscolorspacecommonmarkcrayonCubistcurldata.tablediagramdigestfansifarverfastmapFNNfontawesomeforecastfracdifffsfuturefuture.applygenericsggplot2globalsgluegtablehtmltoolshttpuvipredisobandjquerylibjsonliteKernSmoothlabelinglaterlatticelavalifecyclelistenvlmtestmagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetnumDerivparallellypillarpkgconfigplyrprodlimprogressrpromisesquadprogquantmodR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrpartsassscalesshapeshinysourcetoolsSQUAREMstringistringrsurvivaltibbletimeDatetseriesTTRurcautf8vctrsvctsfrviridisLitewithrxtablextszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create a ggplot object from an 'utsf' object | autoplot.utsf |
| Build the training examples | build_examples |
| Specify the way in which the estimation of forecast accuracy is done | evaluation |
| Train an univariate time series forecasting model and make forecasts | forecast |
| Prediction from 'utsf' objects | predict.utsf |
| Specifying the transformation for dealing with trended series | trend |
