The Time Series Modeling Companion to 'healthyR'

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Documentation for package ‘healthyR.ts’ version 0.3.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

auto_stationarize	Automatically Stationarize Time Series Data
calibrate_and_plot	Helper function - Calibrate and Plot
ci_hi	Confidence Interval Generic
ci_lo	Confidence Interval Generic
color_blind	Provide Colorblind Compliant Colors
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
step_ts_acceleration	Recipes Time Series Acceleration Generator
step_ts_velocity	Recipes Time Series velocity Generator
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 Stationary
util_doubledifflog_ts	Double Differencing with Log Transformation to Make Time Series Stationary
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