Man pages for spsanderson/healthyR.ts
The Time Series Modeling Companion to 'healthyR'
| arima_string | Forecast arima.string |
| assign_value | Misc for boilerplate |
| auto_stationarize | Automatically Stationarize Time Series Data |
| calibrate_and_plot | Helper function - Calibrate and Plot |
| chr_assign | Misc for boilerplate |
| ci_hi | Confidence Interval Generic |
| ci_lo | Confidence Interval Generic |
| color_blind | Provide Colorblind Compliant Colors |
| get_recipe_call | Misc for boilerplate |
| internal_ts_backward_event_tbl | Event Analysis |
| internal_ts_both_event_tbl | Event Analysis |
| internal_ts_forward_event_tbl | Event Analysis |
| model_extraction_helper | Model Method Extraction Helper |
| pipe | Pipe operator |
| required_pkgs.healthyR.ts | Requited Packages |
| step_ts_acceleration | Recipes Time Series Acceleration Generator |
| step_ts_velocity | Recipes Time Series velocity Generator |
| tidyeval | Tidy eval helpers |
| tidy_fft | Tidy Style FFT |
| ts_acceleration_augment | Augment Function Acceleration |
| ts_acceleration_vec | Vector Function Time Series Acceleration |
| ts_adf_test | Augmented Dickey-Fuller Test for Time Series Stationarity |
| ts_arima_simulator | Simulate ARIMA Model |
| ts_auto_arima | Boilerplate Workflow |
| ts_auto_arima_xgboost | Boilerplate Workflow |
| ts_auto_croston | Boilerplate Workflow |
| ts_auto_exp_smoothing | Boilerplate Workflow |
| ts_auto_glmnet | Boilerplate Workflow |
| ts_auto_lm | Boilerplate Workflow |
| ts_auto_mars | Boilerplate Workflow |
| ts_auto_nnetar | Boilerplate Workflow |
| ts_auto_prophet_boost | Boilerplate Workflow |
| ts_auto_prophet_reg | Boilerplate Workflow |
| ts_auto_recipe | Build a Time Series Recipe |
| ts_auto_smooth_es | Boilerplate Workflow |
| ts_auto_svm_poly | Boilerplate Workflow |
| ts_auto_svm_rbf | Boilerplate Workflow |
| ts_auto_theta | Boilerplate Workflow |
| ts_auto_xgboost | Boilerplate Workflow |
| ts_brownian_motion | Brownian Motion |
| ts_brownian_motion_augment | Brownian Motion |
| ts_brownian_motion_plot | Auto-Plot a Geometric/Brownian Motion Augment |
| ts_calendar_heatmap_plot | Time Series Calendar Heatmap |
| ts_compare_data | Compare data over time periods |
| ts_event_analysis_plot | Time Series Event Analysis Plot |
| ts_extract_auto_fitted_workflow | Extract Boilerplate Items |
| ts_feature_cluster | Time Series Feature Clustering |
| ts_feature_cluster_plot | Time Series Feature Clustering |
| ts_forecast_simulator | Time-series Forecasting Simulator |
| ts_geometric_brownian_motion | Geometric Brownian Motion |
| ts_geometric_brownian_motion_augment | Geometric Brownian Motion |
| ts_get_date_columns | Get date or datetime variables (column names) |
| ts_growth_rate_augment | Augment Data with Time Series Growth Rates |
| ts_growth_rate_vec | Vector Function Time Series Growth Rate |
| ts_info_tbl | Get Time Series Information |
| ts_is_date_class | Check if an object is a date class |
| ts_lag_correlation | Time Series Lag Correlation Analysis |
| ts_ma_plot | Time Series Moving Average Plot |
| ts_model_auto_tune | Time Series Model Tuner |
| ts_model_compare | Compare Two Time Series Models |
| ts_model_rank_tbl | Model Rank |
| ts_model_spec_tune_template | Time Series Model Spec Template |
| ts_qc_run_chart | Quality Control Run Chart |
| ts_qq_plot | Time Series Model QQ Plot |
| ts_random_walk | Random Walk Function |
| ts_random_walk_ggplot_layers | Get Random Walk 'ggplot2' layers |
| ts_scale_color_colorblind | Provide Colorblind Compliant Colors |
| ts_scale_fill_colorblind | Provide Colorblind Compliant Colors |
| ts_scedacity_scatter_plot | Time Series Model Scedacity Plot |
| ts_sma_plot | Simple Moving Average Plot |
| ts_splits_plot | Time Series Splits Plot |
| ts_time_event_analysis_tbl | Event Analysis |
| ts_to_tbl | Coerce a time-series object to a tibble |
| ts_velocity_augment | Augment Function Velocity |
| ts_velocity_vec | Vector Function Time Series Acceleration |
| ts_vva_plot | Time Series Value, Velocity and Acceleration Plot |
| ts_wfs_arima_boost | Auto Arima XGBoost Workflowset Function |
| ts_wfs_auto_arima | Auto Arima (Forecast auto_arima) Workflowset Function |
| ts_wfs_ets_reg | Auto ETS Workflowset Function |
| ts_wfs_lin_reg | Auto Linear Regression Workflowset Function |
| ts_wfs_mars | Auto MARS (Earth) Workflowset Function |
| ts_wfs_nnetar_reg | Auto NNETAR Workflowset Function |
| ts_wfs_prophet_reg | Auto PROPHET Regression Workflowset Function |
| ts_wfs_svm_poly | Auto SVM Poly (Kernlab) Workflowset Function |
| ts_wfs_svm_rbf | Auto SVM RBF (Kernlab) Workflowset Function |
| ts_wfs_xgboost | Auto XGBoost (XGBoost) Workflowset Function |
| util_difflog_ts | Differencing with Log Transformation to Make Time Series... |
| util_doubledifflog_ts | Double Differencing with Log Transformation to Make Time... |
| util_doublediff_ts | Double Differencing to Make Time Series Stationary |
| util_log_ts | Logarithmic Transformation to Make Time Series Stationary |
| util_singlediff_ts | Single Differencing to Make Time Series Stationary |
