This package is considered a duplicate. The official version of this package is found at:https://chuckcoleman.r-universe.dev/RFIF

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.zip(r-4.7-x86_64)RFIF_1.0.2.zip(r-4.7-arm64)RFIF_1.0.2.zip(r-4.6-x86_64)RFIF_1.0.2.zip(r-4.6-arm64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
RFIF/json (API)

# 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:

fftw3

3.48 score 238 downloads 1 exports 0 dependencies

Last updated from:dec65ba7ff. Checks:10 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	113
linux-devel-x86_64	OK	106
source / vignettes	OK	174
linux-release-arm64	OK	110
linux-release-x86_64	OK	99
windows-devel-arm64	OK	201
windows-devel-x86_64	OK	120
windows-release-arm64	OK	179
windows-release-x86_64	OK	76
wasm-release	OK	83