autoarfima: Automatic Model Selection for ARFIMA models

In rugarch: Univariate GARCH Models

Automatic Model Selection for ARFIMA models

Description

Select best fitting ARFIMA models based on information criteria.

Usage

autoarfima(data, ar.max = 2, ma.max = 2, criterion = c("AIC","BIC","SIC","HQIC"),
method = c("partial", "full"), arfima = FALSE, include.mean = NULL, 
distribution.model = "norm", cluster = NULL, external.regressors = NULL, 
solver = "solnp", solver.control=list(), fit.control=list(), return.all = FALSE)

Arguments

data	A univariate data object. Can be a numeric vector, matrix, data.frame, zoo, xts, timeSeries, ts or irts object.
ar.max	Maximum AR order to test for.
ma.max	Maximum MA order to test for.
criterion	Information Criterion to use for selecting the best model.
method	The partial method tests combinations of consecutive orders of AR and MA i.e. 1:2, 1:3 etc, while the full method tests all possible combinations within the consecutive orders thus enumerating the complete combination space of the MA and AR orders. .
arfima	Can be TRUE, FALSE or NULL in which case it is tested.
include.mean	Can be TRUE, FALSE or NULL in which case it is tested.
cluster	A cluster object created by calling makeCluster from the parallel package. If it is not NULL, then this will be used for parallel estimation.
external.regressors	A matrix object containing the external regressors to include in the mean equation with as many rows as will be included in the data (which is passed in the fit function).
distribution.model	The distribution density to use for the innovations (defaults to Normal).
solver	One of either “nlminb”, “solnp”, “gosolnp” or “nloptr”.
solver.control	Control arguments list passed to optimizer.
fit.control	Control arguments passed to the fitting routine.
return.all	Whether to return all the fitted models or only the best one.

Value

A list with the following items:

fit	Either the best fitted model or all the fitted models if the option ‘return.all’ was selected.
rank.matrix	Either a sorted matrix of the models and their information criterion, else an unsorted matrix of the models and their information criterion if the option ‘return.all’ was selected.

Author(s)

Alexios Ghalanos

Examples

## Not run: 
data(sp500ret)
fit = autoarfima(data = sp500ret[1:1000,], ar.max = 2, ma.max = 2, 
criterion = "AIC", method = "full")

## End(Not run)

rugarch documentation built on Sept. 30, 2024, 9:30 a.m.