# The Tidymodels Extension for Time Series Modeling

## Documentation for package ‘modeltime’ version 0.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

arima_boost | General Interface for "Boosted" ARIMA Regression Models
Arima_fit_impl | Low-Level ARIMA function for translating modeltime to forecast
arima_params | Tuning Parameters for ARIMA Models
Arima_predict_impl | Bridge prediction function for ARIMA models
arima_reg | General Interface for ARIMA Regression Models
arima_workflow_tuned | Example ARIMA Tuning Results
arima_xgboost_fit_impl | Bridge ARIMA-XGBoost Modeling function
arima_xgboost_predict_impl | Bridge prediction Function for ARIMA-XGBoost Models
auto_arima_fit_impl | Low-Level ARIMA function for translating modeltime to forecast
auto_arima_xgboost_fit_impl | Bridge ARIMA-XGBoost Modeling function
bake_xreg_recipe | Developer Tools for processing XREGS (Regressors)
create_xreg_recipe | Developer Tools for preparing XREGS (Regressors)
damping | Tuning Parameters for Exponential Smoothing Models
default_forecast_accuracy_metric_set | Forecast Accuracy Metrics Sets
error | Tuning Parameters for Exponential Smoothing Models
ets_fit_impl | Low-Level Exponential Smoothing function for translating modeltime to forecast
ets_predict_impl | Bridge prediction function for Exponential Smoothing models
exp_smoothing | General Interface for Exponential Smoothing State Space Models
exp_smoothing_params | Tuning Parameters for Exponential Smoothing Models
get_arima_description | Get model descriptions for Arima objects
get_model_description | Get model descriptions for parsnip, workflows & modeltime objects
growth | Tuning Parameters for Prophet Models
juice_xreg_recipe | Developer Tools for processing XREGS (Regressors)
modeltime_accuracy | Calculate Accuracy Metrics
modeltime_calibrate | Preparation for forecasting
modeltime_forecast | Forecast future data
modeltime_refit | Refit one or more trained models to new data
modeltime_table | Scale forecast analysis with a Modeltime Table
new_modeltime_bridge | Constructor for creating modeltime models
non_seasonal_ar | Tuning Parameters for ARIMA Models
non_seasonal_differences | Tuning Parameters for ARIMA Models
non_seasonal_ma | Tuning Parameters for ARIMA Models
num_changepoints | Tuning Parameters for Prophet Models
parse_index | Developer Tools for parsing date and date-time information
parse_index_from_data | Developer Tools for parsing date and date-time information
parse_period_from_index | Developer Tools for parsing date and date-time information
plot_modeltime_forecast | Interactive Forecast Visualization
prior_scale_changepoints | Tuning Parameters for Prophet Models
prior_scale_holidays | Tuning Parameters for Prophet Models
prior_scale_seasonality | Tuning Parameters for Prophet Models
prophet_boost | General Interface for Boosted PROPHET Time Series Models
prophet_fit_impl | Low-Level PROPHET function for translating modeltime to PROPHET
prophet_params | Tuning Parameters for Prophet Models
prophet_predict_impl | Bridge prediction function for PROPHET models
prophet_reg | General Interface for PROPHET Time Series Models
prophet_xgboost_fit_impl | Low-Level PROPHET function for translating modeltime to Boosted PROPHET
prophet_xgboost_predict_impl | Bridge prediction function for Boosted PROPHET models
recipe_helpers | Developer Tools for processing XREGS (Regressors)
season | Tuning Parameters for Exponential Smoothing Models
seasonal_ar | Tuning Parameters for ARIMA Models
seasonal_decomp | General Interface for Seasonal Decomposition Regression Models
seasonal_differences | Tuning Parameters for ARIMA Models
seasonal_ma | Tuning Parameters for ARIMA Models
seasonal_period | Tuning Parameters for Time Series (ts-class) Models
stlm_arima_fit_impl | Low-Level stlm function for translating modeltime to forecast
stlm_arima_predict_impl | Bridge prediction function for ARIMA models
stlm_ets_fit_impl | Low-Level stlm function for translating modeltime to forecast
stlm_ets_predict_impl | Bridge prediction function for ARIMA models
table_modeltime_accuracy | Interactive Accuracy Tables
time_series_params | Tuning Parameters for Time Series (ts-class) Models
trend | Tuning Parameters for Exponential Smoothing Models
type_sum.mdl_time_tbl | Succinct summary of Modeltime Tables
xgboost_impl | Wrapper for parsnip::xgb_train
xgboost_predict | Wrapper for xgboost::predict