FMM-package

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. package

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").

Author(s)

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

Maintainer: Itziar Fernandez itziar.fernandez@uva.es

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