Science Score: 13.0%
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Low similarity (11.4%) to scientific vocabulary
Repository
FMM R package codes
Basic Info
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 2
- Releases: 4
Metadata Files
README.md
FMM base R Package
This repository contains the source codes of the FMM R package which implements the core of the FMM approach.
Overview
The FMM (Frequency Modulated Möbius) model is a nonlinear parametric regression model designed to analyze nearly periodic, non-sinusoidal physiological time series, extracting key features encoded in time-varying oscillatory morphology. This method decomposes signals into harmonic functions, known as Möbius waves, which are characterized by four physiologically interpretable parameters: amplitude ($A$), location ($\alpha$), width/sharpness ($\omega$), and direction/symmetry ($\beta$).
The FMM approach has demonstrated its effectiveness across various fields, including cardiology, neuroscience, and circadian biology, among many others. Readers may refer to [1-3] for further details.
How to use
The FMM R package provides a collection of well-documented functions to fit and explore single, multi-component, and restricted FMM models in the programming language R.
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") ```
References
[1] Rueda, C., Larriba, Y., & Peddada, S. D. (2019). Frequency modulated möbius model accurately predicts rhythmic signals in biological and physical sciences. Scientific reports, 9(1), 18701.
[2] Rueda, C., Rodríguez-Collado, A., & Larriba, Y. (2021). A novel wave decomposition for oscillatory signals. IEEE Transactions on Signal Processing, 69, 960-972.
[3] Rueda, C., Larriba, Y., & Lamela, A. (2021). The hidden waves in the ECG uncovered revealing a sound automated interpretation method. Scientific reports, 11(1), 3724.
Owner
- Login: FMMGroupVa
- Kind: user
- Repositories: 2
- Profile: https://github.com/FMMGroupVa
GitHub Events
Total
- Issues event: 2
- Watch event: 1
- Push event: 7
Last Year
- Issues event: 2
- Watch event: 1
- Push event: 7
Packages
- Total packages: 1
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Total downloads:
- cran 277 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 6
- Total maintainers: 1
cran.r-project.org: FMM
Rhythmic Patterns Modeling by FMM Models
- Homepage: https://github.com/FMMGroupVa/FMM-base-R-package
- Documentation: http://cran.r-project.org/web/packages/FMM/FMM.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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Latest release: 0.4.1
published about 1 year ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.5 depends
- doParallel * imports
- foreach * imports
- iterators * imports
- methods * imports
- parallel * imports
- rlang * imports
- RColorBrewer * suggests
- ggplot2 * suggests
- gridExtra * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests