Nothing
Simes <- function(pCADFtest.results, alpha=0.05)
{
# This function computes the panel unit root Simes test.
# Arguments:
# pCADFtest.results: an object of class pCADFtest
# alpha : the level of the test (can be a vector)
# Values:
# outcome : logical. TRUE = "Don't reject", FALSE = "Reject" the null
# it is a vector if alpha is a vector.
sort.pval <- sort(pCADFtest.results$individual.tests[,1])
N <- length(sort.pval)
critval <- matrix(NA, N, length(alpha))
for (i in 1:length(alpha))
{
critval[,i] <- (1:N)/N * alpha[i]
}
outcome <- (apply((sort.pval <= critval), 2, "sum")==0)
return(outcome)
}
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