HQC function

Hannan–Quinn information criterion

Hannan–Quinn information criterion

HQC(object, ...) ## Default S3 method: HQC(object, ...) ## S3 method for class 'logLik' HQC(object, ...)

Arguments

  • object: any object from which a log-likelihood value, or a contribution to a log-likelihood value, can be extracted.
  • ...: some methods for this generic function require additional arguments.

Details

Computes the Hannan-Quinn information criterion for a model MM

HQC(τ,M(yθ^τ))=2klnlnn2LM(yθ^τ), HQC(\tau, M(y|\hat{\theta}_{\tau})) = 2k \cdot \ln{\ln{n}} - 2 \cdot L_M(y|\hat{\theta}_\tau) \,,

where kk is the number of parameters and nn is the number of observations.

Examples

# Compute the HQC HQC(fit_meanvar(CET, tau = NULL)) HQC(fit_meanshift_norm_ar1(CET, tau = c(42, 330))) HQC(fit_trendshift(CET, tau = c(42, 81, 330)))

See Also

stats::BIC(), stats::AIC()

Other penalty-functions: BMDL(), MBIC(), MDL(), SIC()