Package: FMM 0.4.1

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:Itziar Fernandez, Alejandro Rodriguez-Collado, Yolanda Larriba, Adrian Lamela, Christian Canedo, Cristina Rueda

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

Datasets:
  • 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

On CRAN:

Conda:

4.30 score 4 stars 5 scripts 367 downloads 25 mentions 28 exports 8 dependencies

Last updated from:d9406278b9. Checks:8 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR122
source / vignettesERROR159
linux-releaseERROR114
macos-releaseERROR153
macos-oldrelERROR118
windows-develERROR94
windows-releaseERROR84
windows-oldrelERROR79
wasm-releaseOK107

Exports:alwaysFalsecalculateCosPhicoefextractWavesfitFMMfittedgenerateFMMgetAgetAlphagetApplygetBetagetDatagetFittedValuesgetFMMPeaksgetMgetNItergetNPeriodsgetOmegagetR2getSSEgetSummarizedDatagetTimePointsplotFMMPVjR2residseqTimessummary

Dependencies:codetoolsdoParallelforeachgsignaliteratorspracmaRcpprlang