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Data Generating Functions

healthyR.ts functions that generate data

tidy_fft()
Tidy Style FFT
ts_brownian_motion()
Brownian Motion
ts_brownian_motion_augment()
Brownian Motion
ts_geometric_brownian_motion()
Geometric Brownian Motion
ts_geometric_brownian_motion_augment()
Geometric Brownian Motion
ts_random_walk()
Random Walk Function

Plotting Functions

healthyR.ts plotting functions

ts_random_walk_ggplot_layers()
Get Random Walk ggplot2 layers
ts_qc_run_chart()
Quality Control Run Chart
ts_ma_plot()
Time Series Moving Average Plot
ts_sma_plot()
Simple Moving Average Plot
ts_calendar_heatmap_plot()
Time Series Calendar Heatmap
ts_splits_plot()
Time Series Splits Plot
ts_vva_plot()
Time Series Value, Velocity and Acceleration Plot
ts_qq_plot()
Time Series Model QQ Plot
ts_scedacity_scatter_plot()
Time Series Model Scedacity Plot
color_blind()
Provide Colorblind Compliant Colors
ts_scale_color_colorblind()
Provide Colorblind Compliant Colors
ts_scale_fill_colorblind()
Provide Colorblind Compliant Colors
ts_brownian_motion_plot()
Auto-Plot a Geometric/Brownian Motion Augment
ts_event_analysis_plot()
Time Series Event Analysis Plot

Time Series Clustering

Time Series Clustering Functions

ts_feature_cluster()
Time Series Feature Clustering
ts_feature_cluster_plot()
Time Series Feature Clustering

Time Filtering Functions

healthyR.ts time based filtering functions

ts_compare_data()
Compare data over time periods
ts_time_event_analysis_tbl()
Event Analysis

Time Series Forecasting and Simulation

healthyR.ts time series forecasting and simulation functions

ts_arima_simulator()
Simulate ARIMA Model
ts_forecast_simulator()
Time-series Forecasting Simulator

Time Series Recipes

healthyR.ts automatic time series recipe functions

ts_auto_recipe()
Build a Time Series Recipe

Time Series Auto Workflowsets

healthyR.ts automatic time series workflow set functions

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

Time Series Boiler Plate Functions

healthyR.ts automatic time series functions to create in a single call a Recipe, Model Specification, Workflow, Model Fit, Tuned Model and Calibration object.

Auto Workflows

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_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

Extractors

ts_extract_auto_fitted_workflow()
Extract Boilerplate Items

Time Series Vector Functions

healthyR.ts vectorized Functions

ts_acceleration_vec()
Vector Function Time Series Acceleration
ts_growth_rate_vec()
Vector Function Time Series Growth Rate
ts_velocity_vec()
Vector Function Time Series Acceleration

Time Series Augment Functions

healthyR.ts augmenting Functions

ts_acceleration_augment()
Augment Function Acceleration
ts_brownian_motion_augment()
Brownian Motion
ts_geometric_brownian_motion_augment()
Geometric Brownian Motion
ts_growth_rate_augment()
Augment Data with Time Series Growth Rates
ts_velocity_augment()
Augment Function Velocity

Time Series Recipe Step Functions

healthyR.ts step functions

step_ts_acceleration()
Recipes Time Series Acceleration Generator
step_ts_velocity()
Recipes Time Series velocity Generator

Time Series Helper Functions

healthyR.ts helper Functions

auto_stationarize()
Automatically Stationarize Time Series Data
calibrate_and_plot()
Helper function - Calibrate and Plot
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
ts_get_date_columns()
Get date or datetime variables (column names)
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_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_qq_plot()
Time Series Model QQ Plot
ts_scedacity_scatter_plot()
Time Series Model Scedacity Plot
ts_to_tbl()
Coerce a time-series object to a tibble
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

Statistic Functions

healthyR.ts simple and complex statistical functions

ci_hi()
Confidence Interval Generic
ci_lo()
Confidence Interval Generic
ts_adf_test()
Augmented Dickey-Fuller Test for Time Series Stationarity