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FMM (version 0.4.1)

FMM-package: Rhythmic Patterns Modeling by FMM Models

Description

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.

Arguments

Author

Adrian Lamela, Itziar Fernandez, Yolanda Larriba, Alejandro Rodriguez, Cristina Rueda

Maintainer: Itziar Fernandez <itziar.fernandez@uva.es>

Details


     Package:    FMM
     Type:       Package
     Version:    0.1.1
     Date:       2021
     License:    GPL Version 2 or later

For a complete list of functions with individual help pages, use library(help = "FMM").

References

Rueda C, Larriba Y, Peddada SD (2019). Frequency Modulated Moebius Model Accurately Predicts Rhythmic Signals in Biological and Physical Sciences. Scientific reports, 9 (1), 18701. https://www.nature.com/articles/s41598-019-54569-1