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
far_0.6-7.zip(r-4.7)far_0.6-7.zip(r-4.6)far_0.6-7.zip(r-4.5)
far_0.6-7.tgz(r-4.6-x86_64)far_0.6-7.tgz(r-4.6-arm64)far_0.6-7.tgz(r-4.5-x86_64)far_0.6-7.tgz(r-4.5-arm64)
far_0.6-7.tar.gz(r-4.7-arm64)far_0.6-7.tar.gz(r-4.7-x86_64)far_0.6-7.tar.gz(r-4.6-arm64)far_0.6-7.tar.gz(r-4.6-x86_64)
far_0.6-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
far/json (API)
NEWS

# 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:

5.12 score 4 stars 3 packages 73 scripts 328 downloads 38 exports 2 dependencies

Last updated from:a101080647. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK106
linux-devel-x86_64OK118
source / vignettesOK206
linux-release-arm64OK111
linux-release-x86_64OK104
macos-release-arm64OK149
macos-release-x86_64OK246
macos-oldrel-arm64OK163
macos-oldrel-x86_64OK274
windows-develOK78
windows-releaseOK83
windows-oldrelOK78
wasm-releaseOK100

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