R: Automatic Time Series Analysis and Forecasting using the Ata Method

# Automatic Time Series Analysis and Forecasting using the Ata Method

## Documentation for package ‘ATAforecasting’ version 0.0.61

- DESCRIPTION file
- Package README

## Help Pages

ATA | Automatic Time Series Analysis and Forecasting using Ata Method with Box-Cox Power Transformations Family and Seasonal Decomposition Techniques
ATA.Accuracy | Accuracy Measures for The ATAforecasting
ATA.BackTransform | Back Transformation Techniques for The ATAforecasting
ATA.BoxCoxAttr | The ATA.BoxCoxAttr function works with many different types of inputs.
ATA.CI | Confidence Interval function for the ATA Method
ATA.Core | The core algorithm of the ATA Method
ATA.Decomposition | Seasonal Decomposition for The ATAforecasting
ATA.Forecast | Forecasting Method for The ATAforecasting
ATA.Plot | Specialized Plot Function of The ATAforecasting
ATA.Print | Specialized Screen Print Function of The ATAforecasting
ATA.SeasAttr | Attributes Set For Unit Root and Seasonality Tests
ATA.Seasonality | Seasonality Tests for The ATAforecasting
ATA.Shift | Lag/Lead (Shift) Function for Univariate Series
ATA.Shift_Mat | Lag/Lead (Shift) Function for Multivariate Series
ATA.Transform | Transformation Techniques for The ATAforecasting
find.freq | Find Frequency Using Spectral Density Of A Time Series From AR Fit
find.freq.fourier | Find Frequency Using Periodogram
find.multi.freq | Find Multi Frequency Using Spectral Density Of A Time Series From AR Fit
fundingTR | Weekly Net Funding Level of Central Bank of Republic of Turkey
touristTR | Monthly number of tourists arrived in Turkey