Description Usage Arguments Value Examples
BLB function that computes the (1-alpha)% CI and the standard errors of the parameter estimate components
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data |
a matrix or dataframe |
gamma |
specifies the size of the subsample by b=n^gamma |
s |
number of subsamples |
r |
number of resamples per subsample |
lambda |
is the penalty in L2 norm for the ridge regression |
alpha |
the level of the confidence for CI, respecified to 0.05 |
a list consisting of
output_CI |
average confidence intervals for the parameter estimate components |
output_se |
average standard errors for the parameter estimates components |
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