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]

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NEWS

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

Peer review:

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

On CRAN:

4.72 score 3 stars 2 packages 58 scripts 495 downloads 38 exports 2 dependencies

Last updated 2 months agofrom:a101080647. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-win-x86_64OKOct 30 2024
R-4.5-linux-x86_64OKOct 30 2024
R-4.4-win-x86_64OKOct 30 2024
R-4.4-mac-x86_64OKOct 30 2024
R-4.4-mac-aarch64OKOct 30 2024
R-4.3-win-x86_64OKOct 30 2024
R-4.3-mac-x86_64OKOct 30 2024
R-4.3-mac-aarch64OKOct 30 2024

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