This is the internal MVMRcML-DP function of mr_mvcML.
MVmr_cML_DP(
b_exp,
b_out,
se_bx,
Sig_inv_l,
n,
K_vec = as.numeric(c()),
random_start = 1L,
num_pert = 100L,
min_theta_range = -0.5,
max_theta_range = 0.5,
maxit = 100L,
thres = 1e-04
)A list
Estimated causal effect from MVMR-cML-BIC
Invalid IVs selected by MVMR-cML-BIC
Estimated causal effect from MVMR-cML-DP
Estimate standard error for BIC_DP_theta
Data perturbation with successful convergence
A vector of the number of selected invalid IVs by MVMRcML-BIC in each data perturbation.
A m*L matrix of SNP effects on the exposure variable.
A m*1 matrix of SNP effects on the outcome variable.
A m*L matrix of standard errors of b_exp.
A list of the inverse of m covariance matrices.
The smallest sample size of the L+1 GWAS dataset.
Sets of candidate K's, the constraint parameter representing number of invalid IVs.
Number of random start points, default is 1.
Number of perturbation, default is 100.
The lower bound of the uniform distribution for each initial value for theta generated from.
The upper bound of the uniform distribution for each initial value for theta generated from.
Maximum number of iterations for each optimization, default is 100.
Threshold for convergence criterion.