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This repository was archived by the owner on Sep 21, 2023. It is now read-only.

Detecting structural breaks in time series data using statistical analysis and regression models in R.

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julzerinos/r-structural-breaks-with-ml

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In a nutshell

Structural breaks in time series data indicate changes in long-term statistical trends. These may be detected with the help of simple machine learning/data analysis models such as regression. We use R to create the model and detect structural breaks in national economic GDP time series data.

Key project files

  1. r-structural-breaks-with-ml.Rproj - rstudio project metadata.
  2. mlw_breakpoints.r - project source code.

The project report

The project results had been analyzed and described in the project report which you may read below or onOverleaf.

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