Description Usage Arguments Details Value Author(s) References See Also Examples
Approximates marginal dimension test significance levels by sampling from the permutation distribution.
1 | msir.permutation.test(object, npermute = 99, numdir = object$numdir, verbose = TRUE)
|
object |
a |
npermute |
number of permutations to compute. |
numdir |
maximum value of the dimension to test. |
verbose |
if |
The function approximates significance levels of the marginal dimension tests based on a permutation test.
The function returns a list with components:
summary |
a table containing the hypotheses, the test statistics, the permutation p-values. |
npermute |
the number of permutations used. |
Furthermore, it also assigns the above information to the corresponding 'msir'
object.
Luca Scrucca luca.scrucca@unipg.it
Scrucca, L. (2011) Model-based SIR for dimension reduction. Computational Statistics & Data Analysis, 55(11), 3010-3026.
Function dr()
in package dr.
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