TSstudio0.1.7 package

Functions for Time Series Analysis and Forecasting

arima_diag

Diagnostic Plots for ARIMA Models

ccf_plot

Time Series Cross Correlation Lags Visualization

check_res

Visualization of the Residuals of a Time Series Model

create_model

A Functional Approach for Building the train_model Components

forecast_sim

Forecasting simulation

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

res_hist

Histogram Plot of the Residuals Values

test_forecast

Visualize of the Fitted and the Forecasted vs the Actual Values

train_model

Train, Test, Evaluate, and Forecast Multiple Time Series Forecasting M...

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

xts_to_ts

Converting 'xts' object to 'ts' object

zoo_to_ts

Converting 'zoo' object to 'ts' object

Provides a set of tools for descriptive and predictive analysis of time series data. That includes functions for interactive visualization of time series objects and as well utility functions for automation time series forecasting.

  • Maintainer: Rami Krispin
  • License: MIT + file LICENSE
  • Last published: 2023-08-09