Provides an R interface to a C implementation of Fast Iterative Filtering (FIF) for decomposing a univariate signal into intrinsic mode functions (IMFs) and a residual. The package uses Fast Fourier Transform library FFTW, if found. If not, it provides instructions to install it for your OS. This is recommended, as R's internal fft(), while avoiding external FFT dependencies, is two orders of magnitude slower. See vignette 'Installing FFTW for RFIF' for RFIF installation instructions.
| Version: | 1.0.2 |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-05-24 |
| DOI: | 10.32614/CRAN.package.RFIF |
| Author: | Chuck Coleman |
| Maintainer: | Chuck Coleman <cdcoleman113 at gmail.com> |
| BugReports: | https://github.com/ChuckColeman/RFIF/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ChuckColeman/RFIF |
| NeedsCompilation: | yes |
| Citation: | RFIF citation info |
| Materials: | README, NEWS |
| CRAN checks: | RFIF results |
| Reference manual: | RFIF.html , RFIF.pdf |
| Vignettes: |
Installing FFTW for RFIF (source, R code) RFIF: Fast Iterative Filtering in R (source, R code) |
| Package source: | RFIF_1.0.2.tar.gz |
| Windows binaries: | r-devel: RFIF_1.0.2.zip, r-release: RFIF_1.0.2.zip, r-oldrel: RFIF_1.0.2.zip |
| macOS binaries: | r-release (arm64): RFIF_1.0.2.tgz, r-oldrel (arm64): RFIF_1.0.2.tgz, r-release (x86_64): RFIF_1.0.2.tgz, r-oldrel (x86_64): RFIF_1.0.2.tgz |
| Old sources: | RFIF archive |
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