Provides methods for fast computation of running (aka rolling) sample statistics. These include running sample mean of a single numeric sequence, running sample variance of a single numeric sequence, running sample covariance of two numeric sequences. Implementation of the methods uses convolution via Fast Fourier Transform. The complexity of the convolution can be reduced from O(n^2) to O(n log n) with fast Fourier transform compared to conventional computation.
Package details |
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Maintainer | |
License | GPL-3 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
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