Functions for Time Series Analysis and Forecasting


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Documentation for package ‘TSstudio’ version 0.1.3

Help Pages

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
EURO_Brent Crude Oil Prices: Brent - Europe
Michigan_CS University of Michigan Consumer Survey, Index of Consumer Sentiment
plot_forecast Plotting Forecast Object
res_hist Histogram Plot of the Residuals Values
test_forecast Visualize of the Fitted and the Forecasted vs the Actual Values
ts_acf A Visualization Function of the ACF Estimation
ts_backtesting Evaluation Function for Forecasting Models
ts_decompose Visualization of the Decompose of a Time Series Object
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_pacf A Visualization Function of the PACF Estimation
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 Object
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