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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fNonlinear_4052.83.tgz(r-4.6-emscripten)
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:

4.26 score 1 stars 3 packages 16 scripts 527 downloads 16 exports 7 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK166
linux-devel-x86_64OK129
source / vignettesOK179
linux-release-arm64OK161
linux-release-x86_64OK132
macos-release-arm64OK118
macos-release-x86_64OK300
macos-oldrel-arm64OK92
macos-oldrel-x86_64OK273
windows-develOK78
windows-releaseOK108
windows-oldrelOK92
wasm-releaseOK89

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