Package: far 0.6-7

far: Modelization for Functional AutoRegressive Processes

Modelizations and previsions functions for Functional AutoRegressive processes using nonparametric methods: functional kernel, estimation of the covariance operator in a subspace, ...

Authors:Julien Damon [aut, cre], Serge, Guillas [aut]

far_0.6-7.tar.gz
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far_0.6-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
far/json (API)

# Install 'far' in R:
install.packages('far', repos = c('https://looping027.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/looping027/far/issues

On CRAN:

Conda:

5.20 score 4 stars 4 packages 66 scripts 455 downloads 38 exports 2 dependencies

Last updated from:a101080647. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK119
source / vignettesOK353
linux-release-arm64OK98
linux-release-x86_64OK106
macos-release-arm64OK150
macos-release-x86_64OK166
macos-oldrel-arm64OK192
macos-oldrel-x86_64OK180
windows-devel-arm64OK322
windows-devel-x86_64OK110
windows-release-arm64OK320
windows-release-x86_64OK69
windows-oldrel-x86_64OK56
wasm-releaseOK99

Exports:as.fdataas.fdata.arrayas.fdata.defaultas.fdata.listas.fdata.matrixbase.simul.farBaseK2BaseCcoef.fardate.fdatafapplyfarfar.cvinterpol.matrixinvgenis.na.fdatakerfonmaxfdatamultplotmultplot.defaultmultplot.fdataorthonormalizationplot.farplot.fdatapred.persistpredict.farpredict.kerfonprint.farprint.fdataprint.kerfonprint.summary.fdataselect.fdatasimul.farsimul.far.sdesimul.far.wienersimul.farxsimul.wienersummary.fdatatheoretical.coef

Dependencies:latticenlme