outidentify {tsapp} | R Documentation |
outidentify
performs one iteration of Wei's iterative procedure to identify impact, locations and type
of outliers in arma processes
Description
outidentify
performs one iteration of Wei's iterative procedure to identify impact, locations and type
of outliers in arma processes
Usage
outidentify(x, object, alpha = 0.05, robust = FALSE)
Arguments
x |
vector, the time series |
object |
output of a model fit with the function arima (from stats) |
alpha |
the level of the tests for deciding which value is to be considered an outlier |
robust |
logical, should the standard error be computed robustly? |
Value
out list with elements
outlier |
matrix with time index (ind), type of outlier (1 = AO, 2 = IO) and value of test statistic (lambda) |
arima.out |
output of final arima model where the outliers are incorporated as fixed regressors |
Examples
data(SPRUCE)
out <- arima(SPRUCE,order=c(2,0,0))
out2 <- outidentify(SPRUCE,out,alpha=0.05, robust = FALSE)
[Package tsapp version 1.0.4 Index]