| BF_distr {mr.pivw} | R Documentation |
Generate bootstrap samples for the bootstrapping Fieller's confidence interval
Description
This function is used to generate bootstrap samples for the bootstrapping Fieller's confidence interval.
Usage
BF_distr(data,beta_hat,tau2,lambda,n_boot=1000,seed_boot=1)
Arguments
data |
A matrix or data frame consists of four columns: the 1st (2nd) column contains the estimated genetic effects on the outcome (exposure); the 3rd (4th) column contains the estimated standard errors of the estimated genetic effects on the outcome (exposure). |
beta_hat |
The estimated causal effect. |
tau2 |
The estimated variance of the horizontal pleiotropy. |
lambda |
The penalty parameter in the pIVW estimator. The penalty parameter plays a role in the bias-variance trade-off of the estimator. |
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. |