R: Modelization for Functional AutoRegressive Processes

# Modelization for Functional AutoRegressive Processes

## Documentation for package ‘far’ version 0.6-7

- DESCRIPTION file
- Package NEWS
- Package README

## 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