Nothing
AIC_pss <- function(model){
# maximized log-likelihood value of the model
LLp <- stats::logLik(model)
# number of freely estimated coefficients
sp <- length(model$coefficients)
c(LLp - sp)
}
BIC_pss <- function(model){
# maximized log-likelihood value of the model
LLp <- stats::logLik(model)
# number of freely estimated coefficients
sp <- length(model$coefficients)
# number of observations
TT <- log(stats::nobs(model))
c(LLp - (sp/2)*TT)
}
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