Package: modeltime.resample 0.2.3.9000
modeltime.resample: Resampling Tools for Time Series Forecasting
A 'modeltime' extension that implements forecast resampling tools that assess time-based model performance and stability for a single time series, panel data, and cross-sectional time series analysis.
Authors:
modeltime.resample_0.2.3.9000.tar.gz
modeltime.resample_0.2.3.9000.zip(r-4.5)modeltime.resample_0.2.3.9000.zip(r-4.4)modeltime.resample_0.2.3.9000.zip(r-4.3)
modeltime.resample_0.2.3.9000.tgz(r-4.4-any)modeltime.resample_0.2.3.9000.tgz(r-4.3-any)
modeltime.resample_0.2.3.9000.tar.gz(r-4.5-noble)modeltime.resample_0.2.3.9000.tar.gz(r-4.4-noble)
modeltime.resample_0.2.3.9000.tgz(r-4.4-emscripten)modeltime.resample_0.2.3.9000.tgz(r-4.3-emscripten)
modeltime.resample.pdf |modeltime.resample.html✨
modeltime.resample/json (API)
NEWS
# Install 'modeltime.resample' in R: |
install.packages('modeltime.resample', repos = c('https://business-science.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/business-science/modeltime.resample/issues
- m750_training_resamples_fitted - Time Series Cross Validation Resample Predictions
accuracy-metricsbacktestingbootstrapbootstrappingcross-validationforecastingmodeltimemodeltime-resampleresamplingstatisticstidymodelstime-series
Last updated 11 months agofrom:a35200d16d. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | NOTE | Oct 31 2024 |
R-4.5-linux | NOTE | Oct 31 2024 |
R-4.4-win | NOTE | Oct 31 2024 |
R-4.4-mac | NOTE | Oct 31 2024 |
R-4.3-win | NOTE | Oct 31 2024 |
R-4.3-mac | NOTE | Oct 31 2024 |
Exports::=.data%>%as_labelas_nameenquoenquosexprget_target_text_from_resamplesmdl_time_fit_resamplesmodeltime_fit_resamplesmodeltime_resample_accuracyplot_modeltime_resamplesplot_time_series_cv_plansymsymstime_series_cvtime_series_splittk_time_series_cv_planunnest_modeltime_resamples
Dependencies:abindanytimeaskpassbackportsbase64encBHbigDbitbit64bitopsbroombslibcachemcallrcheckmateclassclicliprclockcodetoolscolorspacecommonmarkconflictedcpp11crayoncrosstalkcurldata.tabledescdiagramdialsDiceDesigndigestdistributionaldoFuturedoParalleldplyrdygraphsevaluateextraDistrfansifarverfastmapfontawesomeforcatsforeachforecastfracdifffsfurrrfuturefuture.applygenericsggplot2globalsgluegowerGPfitgridExtragtgtablehardhathighrhmshtmltoolshtmlwidgetshttrinferinlineipredisobanditeratorsjanitorjquerylibjsonlitejuicyjuiceKernSmoothknitrlabelinglaterlatticelavalazyevallhslifecyclelistenvlmtestloolubridatemagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimemodeldatamodelenvmodeltimemunsellnlmennetnumDerivopensslpadrparallellyparsnippatchworkpillarpkgbuildpkgconfigplotlyposteriorprettyunitsprocessxprodlimprogressprogressrpromisesprophetpspurrrquadprogquantmodQuickJSRR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRcppRollreactablereactRreadrrecipesrlangrmarkdownrpartrsamplerstanrstantoolsrstudioapisassscalessfdshapeslidersnakecaseSQUAREMStanHeadersstringistringrsurvivalsystensorAtibbletictoctidymodelstidyrtidyselecttimechangetimeDatetimetktinytextseriestsfeaturesTTRtunetzdburcautf8V8vctrsviridisLitevroomwarpwithrworkflowsworkflowsetsxfunxgboostxml2xtsyamlyardstickzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Gets the target variable as text from unnested resamples | get_target_text_from_resamples |
Time Series Cross Validation Resample Predictions (Results) from the M750 Data (Training Set) | m750_training_resamples_fitted |
Fits Models in a Modeltime Table to Resamples | modeltime_fit_resamples |
Calculate Accuracy Metrics from Modeltime Resamples | modeltime_resample_accuracy |
Interactive Resampling Accuracy Plots | plot_modeltime_resamples |
Unnests the Results of Modeltime Fit Resamples | unnest_modeltime_resamples |