BF_dist function

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

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

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.

Returns

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