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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.
| Version: | 1.0 |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-03-31 |
| 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 [issues need fixing before 2026-04-15] |
| Reference manual: | RFIF.html , RFIF.pdf |
| Vignettes: |
RFIF: Fast Iterative Filtering in R (source, R code) |
| Package source: | RFIF_1.0.tar.gz |
| Windows binaries: | r-devel: RFIF_1.0.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): RFIF_1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): RFIF_1.0.tgz, r-oldrel (x86_64): RFIF_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=RFIF to link to this page.
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.