TSA (version 1.3)

LB.test: Portmanteau Tests for Fitted ARIMA models

Description

This function modifies the Box.test function in the stats package, and it computes the Ljung-Box or Box-Pierce tests checking whether or not the residuals appear to be white noise.

Usage

LB.test(model, lag = 12, type = c("Ljung-Box", "Box-Pierce"), no.error = FALSE,
 omit.initial = TRUE)

Arguments

model

model fit from the arima function

lag

number of lags of the autocorrelation of the residuals to be included in the test statistic. (default=12)

type

either Ljung-Box or Box-Pierce

no.error

a system variable; normally it is not changed

omit.initial

if true, (d+Ds) initial residuals are omitted from the test

Value

a list:

statistics

test statistic

p.value

p-value

parameter

d.f. of the Chi-square test

lag

no of lags

References

Box, G. E. P. and Pierce, D. A. (1970), Distribution of residual correlations in autoregressive-integrated moving average time series models. Journal of the American Statistical Association, 65, 15091526.

Ljung, G. M. and Box, G. E. P. (1978), On a measure of lack of fit in time series models. Biometrika 65, 553564.

Examples

# NOT RUN {
data(color)
m1.color=arima(color,order=c(1,0,0))
LB.test(m1.color)
# }