Description Usage Arguments Value See Also Examples
projcov
calculate the projected distance covariance of two vectors given
common factors.
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x |
first vector |
y |
second vector |
b |
factor matrix |
method |
projection method. Default = 'lasso'. |
one.SE |
whether to use the 1se rule for glmnet. Default = TRUE. |
refit |
whether to refit the selected model. Default = TRUE. |
R |
number of random permutations for the test. |
randSeed |
the random seed for the program. Default = 0. |
normalized |
whether to normalized by S2. Default = FALSE. |
a list.
test.pearson |
pearson correlection test statistic |
test.dcov |
distance covariance test statistic |
xeps |
residual of projection of x on b |
yeps |
residual of projection of y on b |
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