A dataset containing Monte Carlo critical values for up to 600 observations
generated using the default minimum window. The critical values have been simulated and
stored as data to save computation time for the user. The stored critical values
can be obtained with the radf_mc_cv()
function, using
nrep = 2000
and the seed = 123
.
radf_crit
A list with lower level lists that contain
Augmented Dickey-Fuller
Backward Augmented Dickey-Fuller
Supremum Augmented Dickey-Fuller
Backward Supremum Augmented Dickey-Fuller
Generalized Supremum Augmented Dickey Fuller
Simulated from exuber package function radf_mc_cv()
.
if (FALSE) {
all.equal(radf_crit[[50]], radf_mc_cv(50, nrep = 2000, seed = 123))
}