R: Functions for Time Series Analysis and Forecasting

# Functions for Time Series Analysis and Forecasting

## Documentation for package ‘TSstudio’ version 0.1.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

add_horizon | A Functional Approach for Building the 'train_model' Components
add_input | A Functional Approach for Building the 'train_model' Components
add_level | A Functional Approach for Building the 'train_model' Components
add_methods | A Functional Approach for Building the 'train_model' Components
add_train_method | A Functional Approach for Building the 'train_model' Components
add_xreg | A Functional Approach for Building the 'train_model' Components
arima_diag | Diagnostic Plots for ARIMA Models
build_model | A Functional Approach for Building the 'train_model' Components
ccf_plot | Time Series Cross Correlation Lags Visualization
check_res | Visualization of the Residuals of a Time Series Model
Coffee_Prices | Coffee Prices: Robusta and Arabica
create_model | A Functional Approach for Building the 'train_model' Components
EURO_Brent | Crude Oil Prices: Brent - Europe
forecast_sim | Forecasting simulation
Michigan_CS | University of Michigan Consumer Survey, Index of Consumer Sentiment
plot_error | Plot the Models Error Rates on the Testing Partitions
plot_forecast | Plotting Forecast Object
plot_grid | Visualizing Grid Search Results
plot_model | Plot the Models Performance on the Testing Partitions
remove_methods | A Functional Approach for Building the 'train_model' Components
res_hist | Histogram Plot of the Residuals Values
set_error | A Functional Approach for Building the 'train_model' Components
test_forecast | Visualize of the Fitted and the Forecasted vs the Actual Values
train_model | Train, Test, Evaluate, and Forecast Multiple Time Series Forecasting Models
ts_cor | An Interactive Visualization of the ACF and PACF Functions
ts_decompose | Visualization of the Decompose of a Time Series Object
ts_grid | Tuning Time Series Forecasting Models Parameters with Grid Search
ts_heatmap | Heatmap Plot for Time Series
ts_info | Get the Time Series Information
ts_lags | Time Series Lag Visualization
ts_ma | Moving Average Method for Time Series Data
ts_plot | Plotting Time Series Objects
ts_polar | Polor Plot for Time Series Object
ts_quantile | Quantile Plot for Time Series
ts_reshape | Transform Time Series Object to Data Frame Format
ts_seasonal | Seasonality Visualization of Time Series Object
ts_split | Split Time Series Object for Training and Testing Partitions
ts_sum | Summation of Multiple Time Series Objects
ts_surface | 3D Surface Plot for Time Series
ts_to_prophet | Transform Time Series Object to Prophet input
USgas | US monthly natural gas consumption
USUnRate | US Monthly Civilian Unemployment Rate
USVSales | US Monthly Total Vehicle Sales
US_indicators | US Key Indicators - data frame format
xts_to_ts | Converting 'xts' object to 'ts' object
zoo_to_ts | Converting 'zoo' object to 'ts' object