TRICEP_glm_beta_boot: Bootstrap TRICEP/BICEP for a coefficient, starting at the...

In hoangtt1989/BICEP: Bi-linear algorithm for composite empirical likelihood

Description

Bootstrap TRICEP/BICEP for a coefficient, starting at the MLE.

Usage

TRICEP_glm_beta_boot(fix_index, X, y = NULL, family = c("gaussian",
  "binomial", "poisson"), B = 200, prob = 0.95, mean_init = NULL,
  algorithm = c("TRICEP", "nested"), parallel = T, seed = 123, ...)

Arguments

fix_index	a vector indicating the indices to be boostrapped.
X	a design matrix with observations in rows and variables in columns.
y	a vector of the responses. Default is NULL in case family = "mean" (test a vector mean).
family	either the GLM family or "mean" for a vector mean.
B	the number of boostrap replications.
prob	the coverage probability.
mean_init	the MLE for the coefficients.
algorithm	a string indicating the algorithm to be used. "nested" is only compatible when family = "gaussian".
parallel	a boolean indicating whether each replicate should be parallelized. A backend for foreach must be registered if this is T.
seed	an integer for setting the seed.
...	additional arguments passed to TRICEP_glm.

Value

A list with the bootstrapped test statistic and the replicates.

hoangtt1989/BICEP documentation built on May 28, 2019, 3:37 p.m.