Description Usage Arguments Value
This is the workhorse function of the package, speeding up computations within double bootstrap routine.
1 | Cdboot_multi(xxyy, lgridlo, lgridhi, B, B2, G)
|
xxyy |
(n by p+1) matrix for X (design matrix) and response vector y. |
lgridlo |
Lower quantile values of double bootstrap distribution to obtain. |
lgridhi |
Upper quantile values of double bootstrap distribution to obtain. |
B |
Number of 1st stage bootstrap samples. |
B2 |
Number of 2nd stage double bootstrap samples. |
G |
Calculate quantile-based empirical coverage at this many grid points |
theta_hat_boot first-level bootstrap estimates of all slope coefficients
theta_qtl_lgrid_lo (p+1 by B by G by 1) matrix for lower quantiles at all grid points for all predictors over all bootstrap samples.
theta_qtl_lgrid_hi (p+1 by B by G by 1) matrix for upper quantiles at all grid points for all predictors over all bootstrap samples.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.