armaselect: Minic method

View source: R/armaselect.r

armaselectR Documentation

Minic method

Description

armaselect implements the MINIC (Minimum Information Criterion) identification method and returns the nbmod best ARMA models, with respect to the Schwarz's Bayesian Criterion (sbc).

Usage

armaselect(y, max.p = 15, max.q = 15, nbmod = 10)

Arguments

y

a time series

max.p

an integer, the maximum value for the autoregressive component, p

max.q

an integer, the maximum value for the moving average component, q

nbmod

an integer, the number of models that will be returned (nbmod may be lower than max.p x max.q).

Value

A matrix with nbmod rows and 3 columns (values of p, q and sbc)

Author(s)

Yves Aragon

Examples

set.seed(4123)
n2 <- 210
yc <- arima.sim(n = 200, list(ar = -0.8, ma = c(-0.3, 0.6)),
 sd = sqrt(1.5))
yc <- yc - 10
armaselect(yc, nbmod = 5) 

caschrono documentation built on Nov. 2, 2023, 5:16 p.m.