sigma.summation | R Documentation |
Based on the bootstrap estimates \{\widehat{\bm{β}}_b\}^B_{b=1}, this function computes the asymptotic variance estimator of the bootstrap estimator, i.e.
\frac{n}{B} ∑^B_{i=1} ≤ft(\widehat{\bm{β}}_b - \widehat{\bm{β}}\right) ≤ft(\widehat{\bm{β}}_b - \widehat{\bm{β}}\right)'.
This function supports parallel programming via the furrr
package.
sigma.summation(n, beta.bs.list, progress, eval.count)
n |
Sample size. |
beta.bs.list |
A list of bootstrap estimators \{\widehat{\bm{β}}_b\}^B_{b=1}. |
progress |
The boolean variable for whether the progress bars should
be displayed. If it is set as |
eval.count |
The count for the number of times the |
Returns the estimator of the asymptotic variance.
sigma.mat |
The estimator of the asymptotic variance. |
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