Package: FMM 0.4.1
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_0.4.1.tar.gz
FMM_0.4.1.zip(r-4.7-any)FMM_0.4.1.zip(r-4.6-any)FMM_0.4.1.zip(r-4.5-any)
FMM_0.4.1.tgz(r-4.6-any)FMM_0.4.1.tgz(r-4.5-any)
FMM_0.4.1.tar.gz(r-4.7-any)FMM_0.4.1.tar.gz(r-4.6-any)
FMM_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FMM/json (API)
| # Install 'FMM' in R: |
| install.packages('FMM', repos = c('https://fmmgroupva.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 from:d9406278b9. Checks:8 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | ERROR | 122 | ||
| source / vignettes | ERROR | 159 | ||
| linux-release | ERROR | 114 | ||
| macos-release | ERROR | 153 | ||
| macos-oldrel | ERROR | 118 | ||
| windows-devel | ERROR | 94 | ||
| windows-release | ERROR | 84 | ||
| windows-oldrel | ERROR | 79 | ||
| wasm-release | OK | 107 |
Exports:alwaysFalsecalculateCosPhicoefextractWavesfitFMMfittedgenerateFMMgetAgetAlphagetApplygetBetagetDatagetFittedValuesgetFMMPeaksgetMgetNItergetNPeriodsgetOmegagetR2getSSEgetSummarizedDatagetTimePointsplotFMMPVjR2residseqTimessummary
Dependencies:codetoolsdoParallelforeachgsignaliteratorspracmaRcpprlang
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 |