glance.garch | R Documentation |
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'garch'
glance(x, test = c("box-ljung-test", "jarque-bera-test"), ...)
x |
A |
test |
Character specification of which hypothesis test to use. The
|
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in
|
A tibble::tibble()
with exactly one row and columns:
AIC |
Akaike's Information Criterion for the model. |
BIC |
Bayesian Information Criterion for the model. |
logLik |
The log-likelihood of the model. [stats::logLik()] may be a useful reference. |
method |
Which method was used. |
nobs |
Number of observations used. |
p.value |
P-value corresponding to the test statistic. |
statistic |
Test statistic. |
parameter |
Parameter field in the htest, typically degrees of freedom. |
glance()
, tseries::garch()
, []
Other garch tidiers:
tidy.garch()
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