View source: R/tseries-tidiers.R
| 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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