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minirocketR

minirocketR provides a high-performance R implementation of the MiniRocket time series feature extraction algorithm (Dempster et al., 2021). Built on a native C++ core via Rcpp with OpenMP multithreading support, the package delivers exact mathematical parity with the Python reference implementation (sktime).

Key Features

• Mathematical Parity: Implements alternating same/valid zero-padded convolutions, golden-ratio quasi-random quantile sampling, and exact dilation weighting.
• C++ Performance: Optimized core routines for fast execution on large time series datasets.
• OpenMP Parallelization: Multi-core acceleration configurable via the num_threads argument.
• PPV Feature Mapping: Standardized transformation yielding \(9,996\) Proportion of Positive Values (PPV) features bounded in \([0, 1]\).

Installation

```R # Install from local source install.packages(“minirocketR”)

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.