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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
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Package details |
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| Author | Itziar Fernandez [aut, cre], Yolanda Larriba [aut], Christian Canedo [aut], Alejandro Rodriguez-Collado [aut], Adrian Lamela [aut], Cristina Rueda [aut] |
| Maintainer | Itziar Fernandez <itziar.fernandez@uva.es> |
| License | GPL (>= 2) |
| Version | 0.4.1 |
| URL | https://github.com/FMMGroupVa/FMM-base-R-package |
| Package repository | View on CRAN |
| Installation |
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