BF_dist: Generate bootstrap samples for the bootstrapping Fieller's...

In MendelianRandomization: Mendelian Randomization Package

Generate bootstrap samples for the bootstrapping Fieller's confidence interval of the penalized inverse-variance weighted (pIVW) method

Description

Internal function of the penalized inverse-variance weighted (pIVW) method, which generates bootstrap samples for the bootstrapping Fieller's confidence interval.

Usage

BF_dist(
  object,
  beta_hat = 0,
  tau2 = 0,
  lambda = 1,
  n_boot = 1000,
  seed_boot = 1
)

Arguments

object	An MRInput object.
beta_hat	The causal effect estimate.
tau2	The estimated variance of the horizontal pleiotropy.
lambda	The penalty parameter in the pIVW estimator. By default, lambda=1.
n_boot	The sample size of the bootstrap samples. By default, n_boot=1000.
seed_boot	The seed for random sampling in the bootstrap method. By default, seed_boot=1.

Value

z_b	A vector containing the bootstrap samples for the bootstrapping Fieller's confidence interval.

MendelianRandomization documentation built on Aug. 9, 2023, 1:05 a.m.