cML_SdTheta {MendelianRandomization} | R Documentation |
Standard Error of Estimated Theta
Description
Internal function of mr_cML. Get the standard error of estimated theta from constrained maximum likelihood.
Usage
cML_SdTheta(b_exp, b_out, se_exp, se_out, theta, b_vec, r_vec)
Arguments
b_exp |
Vector of estimated effects for exposure. |
b_out |
Vector or estimated effects for outcome. |
se_exp |
Vector of standard errors for exposure. |
se_out |
Vector of standard errors for outcome. |
theta |
Estimated theta from cML. |
b_vec |
Estimated vector of b from cML. |
r_vec |
Estimated vector of r from cML. |
Value
Standard error of theta.
Examples
# First get estimates:
MLE_result = cML_estimate(b_exp = ldlc,b_out = chdlodds,se_exp = ldlcse,
se_out = chdloddsse, K = 5)
# Calculate standard error:
cML_SdTheta(b_exp = ldlc,b_out = chdlodds,se_exp = ldlcse,
se_out = chdloddsse, theta = MLE_result$theta, b_vec = MLE_result$b_vec, r_vec = MLE_result$r_vec)
[Package MendelianRandomization version 0.10.0 Index]