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✨
DESCRIPTION
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:

4.14 score 1 stars 3 packages 9 scripts 741 downloads 16 exports 7 dependencies

Last updated from:6653f85913. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK150
linux-devel-x86_64OK126
source / vignettesOK186
linux-release-arm64OK142
linux-release-x86_64OK122
macos-release-arm64OK106
macos-release-x86_64OK169
macos-oldrel-arm64OK95
macos-oldrel-x86_64OK341
windows-devel-arm64OK265
windows-devel-x86_64OK114
windows-release-arm64OK181
windows-release-x86_64OK90
windows-oldrel-x86_64OK79
wasm-releaseOK110

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