FMM: Rhythmic Patterns Modeling by FMM Models (original) (raw)
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: | 0.4.1 |
|---|---|
| Depends: | R (≥ 3.5) |
| Imports: | methods, rlang, foreach, iterators, parallel, doParallel, gsignal |
| Suggests: | gridExtra, knitr, rmarkdown, RColorBrewer, ggplot2, testthat (≥ 3.0.0) |
| Published: | 2025-04-18 |
| DOI: | 10.32614/CRAN.package.FMM |
| 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 at uva.es> |
| BugReports: | https://github.com/FMMGroupVa/FMM-base-R-package/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/FMMGroupVa/FMM-base-R-package |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | FMM results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=FMMto link to this page.