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) .


FMM: Rhythmic Patterns Modeling by FMM Models

Overview

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Provides a collection of functions to fit and explore single, multi-component and restricted Frequency Modulated Moebius (FMM) models in the programming language R. '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) https://doi.org/10.1038/s41598-019-54569-1.

Installation

# Can be installed directly from CRAN
install.packages("FMM")
# Or the development version from GitHub:
# install.packages("devtools")
devtools::install_github("FMMGroupVa/FMM")

Using FMM

To get acquainted with some of the important functions, read the vignette:

# Overview of the package
vignette("FMMVignette", package = "FMM")

Reference manual

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install.packages("FMM")

0.4.1 by Itziar Fernandez, a year ago


https://github.com/FMMGroupVa/FMM-base-R-package


Report a bug at https://github.com/FMMGroupVa/FMM-base-R-package/issues


Browse source code at https://github.com/cran/FMM


Authors: Itziar Fernandez [aut, cre] , Yolanda Larriba [aut] , Christian Canedo [aut] , Alejandro Rodriguez-Collado [aut] , Adrian Lamela [aut] , Cristina Rueda [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports methods, rlang, foreach, iterators, parallel, doParallel, gsignal

Suggests gridExtra, knitr, rmarkdown, RColorBrewer, ggplot2, testthat


See at CRAN