FMM: Rhythmic Patterns Modeling by FMM Models

Provides a collection of functions to fit and explore single, multi-component and restricted Frequency Modulated Moebius (FMM) models. 'FMM' is a nonlinear parametric regression model capable of fitting non-sinusoidal shapes in rhythmic patterns. Details about the mathematical formulation of 'FMM' models can be found in Rueda et al. (2019) <doi:10.1038/s41598-019-54569-1>.

Version: 0.1.2
Depends: R (≥ 3.5)
Imports: methods, foreach, iterators, parallel, doParallel
Suggests: ggplot2, RColorBrewer, testthat
Published: 2021-03-01
Author: Adrian Lamela, Itziar Fernandez, Yolanda Larriba, Alejandro Rodriguez, Cristina Rueda
Maintainer: Itziar Fernandez <itziar.fernandez at uva.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: FMM results

Downloads:

Reference manual: FMM.pdf
Package source: FMM_0.1.2.tar.gz
Windows binaries: r-devel: FMM_0.1.2.zip, r-release: FMM_0.1.2.zip, r-oldrel: FMM_0.1.2.zip
macOS binaries: r-release (arm64): FMM_0.1.2.tgz, r-release (x86_64): FMM_0.1.2.tgz, r-oldrel: FMM_0.1.2.tgz
Old sources: FMM archive

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