Cdboot_multi {perccal}R Documentation

Fast computation of internal double bootstrap calculations

Description

This is the workhorse function of the package, speeding up computations within double bootstrap routine.

Usage

Cdboot_multi(xxyy, lgridlo, lgridhi, B, B2, G)

Arguments

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

Value

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.


[Package perccal version 1.0 Index]