Description Usage Arguments Value Examples
Estimation of mutlivariate TAR models with given thresholds. It can handle multiple regimes.
1 2 |
y |
vector time series. |
arorder |
AR order of each regime. The number of regime is length of arorder. |
thr |
threshould value(s). There are k-1 threshold for a k-regime model. |
delay |
two elements (i,d) with "i" being the component and "d" the delay for threshold variable. |
thrV |
external threhold variable if any. If thrV is not null, it must have the same number of observations as y-series. |
include.mean |
logical values indicating whether constant terms are included. Default is TRUE for all. |
output |
a logical value indicating four output. Default is TRUE. |
mTAR.est returns a list with the following components:
data |
the data matrix, |
k |
the dimension of |
arorder |
AR orders of regimes 1 and 2. |
beta |
a ( |
sigma |
estimated innovational covariance matrices of regimes 1 and 2. |
thr |
threshold value. |
residuals |
estimated innovations. |
sresi |
standardized residuals. |
nobs |
numbers of observations in different regimes. |
cnst |
logical values indicating whether the constant terms are included in different regimes. |
AIC |
AIC value. |
delay |
two elements ( |
thrV |
values of threshold variable. |
1 2 3 4 5 6 7 8 9 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.