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)RFIF_1.0.2.zip(r-4.6)RFIF_1.0.2.zip(r-4.5)
RFIF_1.0.2.tgz(r-4.6-x86_64)RFIF_1.0.2.tgz(r-4.6-arm64)RFIF_1.0.2.tgz(r-4.5-x86_64)RFIF_1.0.2.tgz(r-4.5-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✨
card.svg |card.png
RFIF/json (API)
NEWS

# Install 'RFIF' in R:

install.packages('RFIF', repos = c('https://chuckcoleman.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

4.48 score 1 stars 2 downloads 1 exports 0 dependencies

Last updated from:b43383a7ad. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	117
linux-devel-x86_64	NOTE	117
source / vignettes	OK	144
linux-release-arm64	NOTE	122
linux-release-x86_64	NOTE	124
macos-release-arm64	NOTE	114
macos-release-x86_64	NOTE	198
macos-oldrel-arm64	NOTE	137
macos-oldrel-x86_64	NOTE	232
windows-devel	NOTE	74
windows-release	NOTE	106
windows-oldrel	NOTE	63
wasm-release	OK	92