Package index

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