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.zip(r-4.5-x86_64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
RFIF/json (API)

# 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 246 downloads 1 exports 0 dependencies

Last updated from:b43383a7ad. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	102
linux-devel-x86_64	OK	104
source / vignettes	OK	148
linux-release-arm64	OK	108
linux-release-x86_64	OK	121
macos-release-arm64	OK	108
macos-release-x86_64	OK	271
macos-oldrel-arm64	OK	100
macos-oldrel-x86_64	OK	238
windows-devel-arm64	OK	323
windows-devel-x86_64	OK	113
windows-release-arm64	OK	332
windows-release-x86_64	OK	77
windows-oldrel-x86_64	OK	71
wasm-release	OK	80