Description Usage Arguments Value Author(s) Examples
Fit the intervention model with some covariates
1 |
delta |
The optimization process will be incorporated if the specific delta is not provided. |
z |
The series which we intend to fit the intervention model |
T |
T denotes the start of the intervention in the model |
xint |
xint denotes for the possible covariates included in the model |
itype |
itype includes the type of the intervention:"step" and "pulse" intervention |
... |
Any supported argments for arima function could be put here. |
Intervention Model is provided
Jinkun Xiao and A. I. McLeod
1 2 |
Attaching package: 'dynia'
The following object is masked from 'package:datasets':
Nile
$Model
Call:
arima(x = z, order = ..1, seasonal = ..2, xreg = xreg2)
Coefficients:
ar1 sma1 intercept omega xint
0.1496 0.2206 129.3581 -0.5823 18.9535
s.e. 0.0979 0.0918 3.1760 0.1285 2.5851
sigma^2 estimated as 413.2: log likelihood = -478.84, aic = 969.68
$xi
[1] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[8] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[15] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[22] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[29] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[36] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[43] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[50] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[57] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[64] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000
[71] 2.033000 3.100089 4.202392 5.341071 6.517326 7.732398 8.987567
[78] 10.284157 11.623534 13.007111 14.436345 15.912745 17.437865 19.013315
[85] 20.640754 22.321899 24.058522 25.852453 27.705584 29.619868 31.597324
[92] 33.640036 35.750157 37.929912 40.181599 42.507592 44.910342 47.392384
[99] 49.956332 52.604891 55.340853 58.167101 61.086615 64.102473 67.217855
[106] 70.436044 73.760434 77.194528
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