| BIC.fars | R Documentation |
fars ObjectComputes BIC values for each quantile regression stored in a
fars object.
The number of observations used in the BIC penalty term is computed as
periods - h, reflecting the effective sample size of the
h-step-ahead dynamic quantile regression.
## S3 method for class 'fars'
BIC(object, ...)
object |
An object of class |
... |
Additional arguments passed to the underlying |
A named numeric vector of BIC values, one per quantile level.
fars_result <- compute_fars(
dep_variable = rnorm(100),
factors = matrix(rnorm(100 * 3), ncol = 3),
h = 1
)
BIC(fars_result)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.