Package: modeltime.resample 0.2.3.9000

Matt Dancho

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:Matt Dancho [aut, cre], Business Science [cph]

# Installmodeltime.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

Datasets:

m750_training_resamples_fitted - Time Series Cross Validation Resample Predictions

On CRAN:

accuracy-metrics backtesting bootstrap bootstrapping cross-validation forecasting modeltime modeltime-resample resampling statistics tidymodels time-series

20 exports 17 stars 2.03 score 189 dependencies 632 downloads

Last updated 6 months agofrom:a35200d16d

Exports::=.data %>%as_label as_name enquo enquos expr get_target_text_from_resamples mdl_time_fit_resamples modeltime_fit_resamples modeltime_resample_accuracy plot_modeltime_resamples plot_time_series_cv_plan sym syms time_series_cv time_series_split tk_time_series_cv_plan unnest_modeltime_resamples

Dependencies:abind anytime askpass backports base64enc BH bigD bit bit64 bitops broom bslib cachem callr checkmate class cli clipr clock codetools colorspace commonmark conflicted cpp11 crayon crosstalk curl data.table desc diagram dials DiceDesign digest distributional doFuture doParallel dplyr dygraphs ellipsis evaluate extraDistr fansi farver fastmap fontawesome forcats foreach forecast fracdiff fs furrr future future.apply generics ggplot2 globals glue gower GPfit gridExtra gt gtable hardhat highr hms htmltools htmlwidgets httr infer inline ipred isoband iterators janitor jquerylib jsonlite juicyjuice KernSmooth knitr labeling later lattice lava lazyeval lhs lifecycle listenv lmtest loo lubridate magrittr markdown MASS Matrix matrixStats memoise mgcv mime modeldata modelenv modeltime munsell nlme nnet numDeriv openssl padr parallelly parsnip patchwork pillar pkgbuild pkgconfig plotly posterior prettyunits processx prodlim progress progressr promises prophet ps purrr quadprog quantmod QuickJSR R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel RcppRoll reactable reactR readr recipes rlang rmarkdown rpart rsample rstan rstantools rstudioapi sass scales shape slider snakecase SQUAREM StanHeaders stringi stringr survival sys tensorA tibble tictoc tidymodels tidyr tidyselect timechange timeDate timetk tinytex tseries tsfeatures TTR tune tzdb urca utf8 V8 vctrs viridisLite vroom warp withr workflows workflowsets xfun xgboost xml2 xts yaml yardstick zoo

Getting Started with Modeltime Resample

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Jul 03 2024.

Last update: 2024-01-04
Started: 2020-10-14

Resampling Panel Data

Rendered frompanel-data.Rmdusingknitr::rmarkdownon Jul 03 2024.

Last update: 2024-01-04
Started: 2020-10-17

Citation

Development and contributors

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