steps1.to.2b | R Documentation |
Computes steps 1 to 2b of the icss Algorithm.
steps1.to.2b(e, sig.lev, kmax, alpha)
e |
Stationary variable on which the constancy of unconditional variance is tested. |
sig.lev |
Significance level. |
kmax |
Maximum lag to be used for the long-run estimation of the fourth order moment of the innovations. |
alpha |
Tail index. |
Used internally by icss.
nb
: Number of breaks.
tb
: Time of the breaks.
kappa.max
: Maximum value of the kappa_test if there is no break.
p.val
: p-value.
C. Inclan & G.C. Tiao (1994): Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance. Journal of the American Statistical Association 89, 913-923.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.