Package: FMM 0.3.1
Itziar Fernandez
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>.
Authors:
FMM_0.3.1.tar.gz
FMM_0.3.1.zip(r-4.5)FMM_0.3.1.zip(r-4.4)FMM_0.3.1.zip(r-4.3)
FMM_0.3.1.tgz(r-4.4-any)FMM_0.3.1.tgz(r-4.3-any)
FMM_0.3.1.tar.gz(r-4.5-noble)FMM_0.3.1.tar.gz(r-4.4-noble)
FMM_0.3.1.tgz(r-4.4-emscripten)FMM_0.3.1.tgz(r-4.3-emscripten)
FMM.pdf |FMM.html✨
FMM/json (API)
NEWS
| # Install 'FMM' in R: |
| install.packages('FMM', repos = c('https://alexarc26.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alexarc26/fmm/issues
- ecgData - Fifth annotated beat (lead MLII) from patient sel100 in 'QT database'
- mouseGeneExp - Iqgap2 gene expression data from mouse liver
- neuronalAPTrain - Neuronal AP Train Data simulated with Hodgkin-Huxley model
- neuronalSpike - Neuronal Spike Data simulated with Hodgkin-Huxley model
Last updated 3 years agofrom:561e13fc8a. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | NOTE | Nov 04 2024 |
| R-4.5-linux | NOTE | Nov 04 2024 |
| R-4.4-win | NOTE | Nov 04 2024 |
| R-4.4-mac | NOTE | Nov 04 2024 |
| R-4.3-win | NOTE | Nov 04 2024 |
| R-4.3-mac | NOTE | Nov 04 2024 |
Exports:alwaysFalsecalculateCosPhicoefextractWavesfitFMMfittedgenerateFMMgetAgetAlphagetApplygetBetagetDatagetFittedValuesgetFMMPeaksgetMgetNItergetNPeriodsgetOmegagetR2getSSEgetSummarizedDatagetTimePointsplotFMMPVjR2residseqTimessummary
Dependencies:codetoolsdoParallelforeachiteratorsrlang
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Rhythmic Patterns Modeling by FMM Models | FMM-package FMM |
| Fifth annotated beat (lead MLII) from patient sel100 in 'QT database' | ecgData |
| Individual contribution to the fitted values of each FMM wave | extractWaves |
| Fitting FMM models | fitFMM |
| FMM Class Representation | FMM-class |
| Methods for objects of class ''FMM'' | coef coef,FMM-method fitted fitted,FMM-method FMM-methods resid resid,FMM-method summary summary,FMM-method |
| Simulating data from FMM models | generateFMM |
| Peak and trough times and signal values | getFMMPeaks |
| General S4 Class Extractor Functions | getA getAlpha getBeta getData getFittedValues getM getNIter getNPeriods getOmega getR2 getSSE getSummarizedData getTimePoints |
| Iqgap2 gene expression data from mouse liver | mouseGeneExp |
| Neuronal AP Train Data simulated with Hodgkin-Huxley model | neuronalAPTrain |
| Neuronal Spike Data simulated with Hodgkin-Huxley model | neuronalSpike |
| Plot fitted FMM models | plotFMM |
