Efficient Savitzky-Golay Filtering R package sgolay version 1.0.4 Smoothing signals and computing their derivatives is a common requirement in signal processing workflows. Savitzky-Golay filters are a established method able to do both (Savitzky and Golay, 1964 <doi:10.1021/ac60214a047>). This package implements one dimensional Savitzky-Golay filters that can be applied to vectors and matrices (either row-wise or column-wise). Vectorization and memory allocations have been profiled to reduce computational fingerprint. Short filter lengths are implemented in the direct space, while longer filters are implemented in frequency space, using a Fast Fourier Transform (FFT). Software Imports: signal Suggests: covr, RUnit Sergio Oller Moreno <sergioller@gmail.com> Comprehensive R Archive Network (CRAN) Sergio Oller Moreno [aut, cre] (ORCID: <https://orcid.org/0000-0002-8994-1549>), Robert Gentleman [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Ross Ihaka [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Brian Ripley [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Martin Maechler [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Duncan Murdoch [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Institute for Bioengineering of Catalonia [cph] GPL (>= 2) 2026-07-10 application/tgz https://CRAN.R-project.org/package=sgolay doi:10.32614/CRAN.package.sgolay