Automatic Time Series Analysis and Forecasting Using the Ata Method


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Documentation for package ‘ATAforecasting’ version 0.0.52

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ATAforecasting-package ATAforecasting: Automatic Time Series Analysis and Forecasting using Ata Method with Box-Cox Power Transformations Family and Seasonal Decomposition Techniques
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.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
ndiffs.tseries Find Number of Differences Required for a Stationary Series
stR_seasadj Seasonal adjustment based on STR
touristTR Monthly number of tourists arrived in Turkey