Package: RFIF 1.0.2

Chuck Coleman

RFIF: Fast Iterative Filtering (FIF) with Portable FFT Backend

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.

Authors:Chuck Coleman [aut, cre]

RFIF_1.0.2.tar.gz
RFIF_1.0.2.tar.gz(r-4.7-arm64)RFIF_1.0.2.tar.gz(r-4.7-x86_64)RFIF_1.0.2.tar.gz(r-4.6-arm64)RFIF_1.0.2.tar.gz(r-4.6-x86_64)
RFIF_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
RFIF/json (API)
NEWS

# Install 'RFIF' in R:
install.packages('RFIF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/chuckcoleman/rfif/issues

Uses libs:
  • fftw3– Library for computing Fast Fourier Transforms

On CRAN:

Conda:

fftw3

3.48 score 2 downloads 1 exports 0 dependencies

Last updated from:dec65ba7ff. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE116
linux-devel-x86_64NOTE114
source / vignettesOK163
linux-release-arm64NOTE118
linux-release-x86_64NOTE117
wasm-releaseOK93

Exports:rfif

Dependencies:

Installing FFTW for RFIF

Rendered frominstall-fftw3l.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2026-04-10
Started: 2026-04-10

RFIF: Fast Iterative Filtering in R

Rendered fromrfif.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2026-03-31
Started: 2026-03-31