Modelization for Functional AutoRegressive Processes

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Documentation for package ‘far’ version 0.6-7

• DESCRIPTION file.
• Package NEWS.

Help Pages

as.fdata	Functional Data class
as.fdata.array	Functional Data class
as.fdata.default	Functional Data class
as.fdata.list	Functional Data class
as.fdata.matrix	Functional Data class
base.simul.far	Creating functional basis
BaseK2BaseC	Changing Basis
coef.far	Extract Model Coefficients
date.fdata	Extract the date of fdata
fapply	Apply functions over a fdata object
far	FARX(1) model estimation
far.cv	Cross Validation for FARX(1) model
fdata	Functional Data class
interpol.matrix	Interpolation matrix
invgen	Generalized inverse of a Matrix
is.na.fdata	Not Available / "Missing" Values
kerfon	Functional Kernel estimation
maxfdata	Maxima of functional data
multplot	Multivariate plots
multplot.default	Multivariate plots
multplot.fdata	Multivariate plots
orthonormalization	Orthonormalization of a set of a matrix
plot.far	FARX(1) model estimation
plot.fdata	Plot Functional Data
pred.persist	Forecasting using functional persistence
predict.far	Forecasting of FARX(1) model
predict.kerfon	Forecasting of functional kernel model
print.far	FARX(1) model estimation
print.fdata	Functional Data class
print.kerfon	Functional Kernel estimation
print.summary.fdata	Functional Data class
select.fdata	Subscript of fdata
simul.far	FAR(1) process simulation
simul.far.sde	FAR-SDE process simulation
simul.far.wiener	FAR(1) process simulation with Wiener noise
simul.farx	FARX(1) process simulation
simul.wiener	Wiener process simulation
summary.fdata	Functional Data class
theoretical.coef	FARX(1) process simulation