Package: fNonlinear 4052.83

fNonlinear: Rmetrics - Nonlinear and Chaotic Time Series Modelling

Provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.

Authors:Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [aut], Paul Smith [cre]

fNonlinear_4052.83.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
fNonlinear/json (API)

# Install 'fNonlinear' in R:
install.packages('fNonlinear', repos = c('https://waternumbers.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/rmetrics

On CRAN:

Conda:

4.29 score 1 stars 3 packages 17 scripts 595 downloads 16 exports 7 dependencies

Last updated from:d8bc4aeb58. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK115
source / vignettesOK155
linux-release-arm64OK109
linux-release-x86_64OK121
macos-release-arm64OK89
macos-release-x86_64OK303
macos-oldrel-arm64OK118
macos-oldrel-x86_64OK274
windows-develOK110
windows-releaseOK89
windows-oldrelOK74
wasm-releaseOK90

Exports:bdsTestfalsennPlothenonSimikedaSimlogisticSimlorentzSimlyapunovPlotmutualPlotrecurrencePlotroesslerSimrunsTestseparationPlottentSimtnnTesttsTestwnnTest

Dependencies:fBasicsgssMASSspatialstabledisttimeDatetimeSeries

Readme and manuals

Help Manual

Help pageTopics
Chaotic Time Series ModellinghenonSim ikedaSim logisticSim lorentzSim NonLinModelling roesslerSim tentSim
Chaotic Time Series StatisticsfalsennPlot lyapunovPlot mutualPlot NonLinStatistics recurrencePlot separationPlot
Time Series TestsbdsTest NonLinTests runsTest tnnTest tsTest wnnTest