aTSA: Alternative Time Series Analysis

Contains some tools for testing, analyzing time series data and fitting popular time series models such as ARIMA, Moving Average and Holt Winters, etc. Most functions also provide nice and clear outputs like SAS does, such as identify, estimate and forecast, which are the same statements in PROC ARIMA in SAS.

Package details

AuthorDebin Qiu
MaintainerDebin Qiu <debinqiu@uga.edu>
LicenseGPL-2 | GPL-3
Version3.1.2.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("aTSA")

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aTSA documentation built on May 29, 2024, 8:50 a.m.