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: |
0.3.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
methods, rlang, foreach, iterators, parallel, doParallel |
| Suggests: |
ggplot2, gridExtra, knitr, RColorBrewer, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2021-12-17 |
| Author: |
Itziar Fernandez, Alejandro Rodriguez-Collado, Yolanda Larriba, Adrian Lamela, Christian Canedo, Cristina Rueda |
| Maintainer: |
Itziar Fernandez <itziar.fernandez at uva.es> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/alexARC26/FMM |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
FMM results |