rulsif.ts implements relative unconstrained least squares importance fitting for the task of detecting change points in time series data. The main function is ts_detect which automatically creates a matrix of subsequences of the series and associates to each time point a "score" from which change points may be detected. The functions in comp_dist.R, comp_median.R, gaussian_kernel.R, RelULSIF.R, and sigma_lambda_grid_search.R were originally written in MATLAB by Song Liu.
Package details |
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Maintainer | |
License | GPL-3 |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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