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far  

Modelization for Functional AutoRegressive Processes
View on CRAN: Click here


Download and install far package within the R console
Install from CRAN:
install.packages("far")

Install from Github:
library("remotes")
install_github("cran/far")

Install by package version:
library("remotes")
install_version("far", "0.6-7")



Attach the package and use:
library("far")
Maintained by
Julien Damon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-01-14
Latest Update: 2024-09-17
Description:
Modelizations and previsions functions for Functional AutoRegressive processes using nonparametric methods: functional kernel, estimation of the covariance operator in a subspace, ...
How to cite:
Julien Damon (2005). far: Modelization for Functional AutoRegressive Processes. R package version 0.6-7, https://cran.r-project.org/web/packages/far. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 0.6-0 (2005-01-14 09:31), 0.6-1 (2007-04-11 10:21), 0.6-2 (2007-10-02 13:22), 0.6-3 (2010-03-08 20:35), 0.6-4 (2014-12-08 21:41), 0.6-5 (2015-07-20 22:40), 0.6-6 (2022-08-13 21:30)
Other packages that cited far R package
View far citation profile
Other R packages that far depends, imports, suggests or enhances
Complete documentation for far
Functions, R codes and Examples using the far R package
Some associated functions: BaseK2BaseC . base.simul.far . coef.far . date.fdata . fapply . far.cv . far . fdata . interpol.matrix . invgen . is.na.fdata . kerfon . maxfdata . multplot . orthonormalization . plot.fdata . pred.persist . predict.far . predict.kerfon . select.fdata . simul.far . simul.far.sde . simul.far.wiener . simul.farx . simul.wiener . 
Some associated R codes: far.R . fdata.R . invgen.R . kerfon.R . orthonormalization.R . simul.R . zzz.R .  Full far package functions and examples
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