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astsa — applied statistical time series analysis

… more than just data … it’s a palindrome

… astsa includes data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the Springer text, Time Series Analysis and Its Applications: With R Examples and the Chapman & Hall text Time Series: A Data Analysis Approach using R.

• Note: scripts and data sets starting with x will be phased out eventually. Old code will run by adding an x; e.g., xKfilter1(...) instead of Kfilter1().

We do not always push the latest version of the package to CRAN, but the latest working version of the package will always be at Github.

• The ROAD MAP is a good place to start to find all the links to the webpages for the texts and some help on using R for time series analysis.

• See the NEWS for further details about the state of the package, how to install the latest version, and the changelog.

• A list of data sets, scripts, and demonstrations of the capabilities of astsa can be found at FUN WITH ASTSA… it’s more fun than high school.

• The updated code for the graduate level text is here: TSA5.

• The updated code for the data science text is here: TSDA.

• Python

  • The code in the first 3 chapters of the Springer text (ed 4) has been converted to Python here.

  • And a Python package that contains datasets from astsa is here.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.