alexARC26/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>.
Getting started
Browse package contents
Package details |
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| Author | Itziar Fernandez, Alejandro Rodriguez-Collado, Yolanda Larriba, Adrian Lamela, Christian Canedo, Cristina Rueda |
| Maintainer | Itziar Fernandez <itziar.fernandez@uva.es> |
| License | GPL (>= 2) |
| Version | 0.3.1 |
| URL | https://github.com/alexARC26/FMM |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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