summary.gmwm | R Documentation |
Displays summary information about GMWM object
## S3 method for class 'gmwm'
summary(object, inference = NULL, bs.gof = NULL,
bs.gof.p.ci = NULL, bs.theta.est = NULL, bs.ci = NULL, B = 100,
...)
object |
A |
inference |
A value containing either: NULL (auto), TRUE, or FALSE |
bs.gof |
A value containing either: NULL (auto), TRUE, FALSE |
bs.gof.p.ci |
A value containing either: NULL (auto), TRUE, FALSE |
bs.theta.est |
A value containing either: NULL (auto), TRUE, FALSE |
bs.ci |
A value containing either: NULL (auto), TRUE, FALSE |
B |
An |
... |
Other arguments passed to specific methods |
A summary.gmwm
object with:
Estimated Theta Values
Goodness of Fit Information
Inference performed? T/F
Bootstrap GOF? T/F
Bootstrap GOF P-Value CI? T/F
Bootstrap Theta Estimates? T/F
Bootstrap CI? T/F
Indicates if program supplied initial starting values
Seed used during guessing / bootstrapping
Value of obj.fun at minimized theta
Length of Time Series
JJB
## Not run:
# AR
set.seed(1336)
n = 200
xt = gen_gts(n, AR1(phi=.1, sigma2 = 1) + AR1(phi=0.95, sigma2 = .1))
mod = gmwm(AR1()+AR1(), data = xt, model.type = "imu")
summary(mod)
## End(Not run)
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