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: 0.3.1
Depends: R (≥ 3.5)
Imports: methods, rlang, foreach, iterators, parallel, doParallel
Suggests: ggplot2, gridExtra, knitr, RColorBrewer, rmarkdown, testthat (≥ 3.0.0)
Published: 2021-12-17
Author: Itziar Fernandez, Alejandro Rodriguez-Collado, Yolanda Larriba, Adrian Lamela, Christian Canedo, Cristina Rueda
Maintainer: Itziar Fernandez <itziar.fernandez at uva.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/alexARC26/FMM
NeedsCompilation: no
Materials: README NEWS
CRAN checks: FMM results

Documentation:

Reference manual: FMM.pdf
Vignettes: FMM Vignette

Downloads:

Package source: FMM_0.3.1.tar.gz
Windows binaries: r-devel: FMM_0.3.1.zip, r-release: FMM_0.3.1.zip, r-oldrel: FMM_0.3.1.zip
macOS binaries: r-release (arm64): FMM_0.3.1.tgz, r-release (x86_64): FMM_0.3.1.tgz, r-oldrel: FMM_0.3.1.tgz
Old sources: FMM archive

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