ts.diag: Diagnostics for ARIMA fits

In aTSA: Alternative Time Series Analysis

Diagnostics for ARIMA fits

Description

Performs diagnostics for ARIMA model fitted by arima or estimate with output of diagnostic plots.

Usage

ts.diag(object, lag.seq = NULL)

Arguments

object	the result of an arima or estimate fit.
lag.seq	the sequence of lag to calculate the Ljung-Box test statistics. The default is NULL.

Details

This function is similar to ts.diag in stats package, but with one more diagnostic plot for the normality of residuals. Also, the default sequence of lags for a Ljung-Box test is set to be seq(4,24,by = 4) if sample size n > 24, otherwise seq(1,n,4). This function has been automatically implemented in estimate function.

Diagnostics are plotted, including the ACF plot, PACF plot, p.value of white noise checking plot, and Q-Q plot for residuals.

Value

A matrix for the result of white noise checking by Ljung-Box test.

Author(s)

Debin Qiu

Examples

x <- arima.sim(list(order = c(3,0,0),ar = c(0.2,0.4,-0.15)),n = 100)
fit <- estimate(x,p = 3) # same as fit <- arima(x,order = c(3,0,0))
ts.diag(fit)

aTSA documentation built on May 29, 2024, 8:50 a.m.