weighted_median_bootstrap: Calculate standard errors for weighted median method using...
In MRCIEU/TwoSampleMR: Two Sample MR Functions and Interface to MR Base Database
weighted_median_bootstrap R Documentation
Calculate standard errors for weighted median method using bootstrap
Description
Based on new script for weighted median confidence interval, update 31 July 2015.
Usage
weighted_median_bootstrap(b_exp, b_out, se_exp, se_out, weights, nboot)
Arguments
b_exp
Vector of genetic effects on exposure.
b_out
Vector of genetic effects on outcome.
se_exp
Standard errors of genetic effects on exposure.
se_out
Standard errors of genetic effects on outcome.
weights
Weights to apply to each SNP.
nboot
Number of bootstrap replications. The default is 1000.
Value
Empirical standard error
MRCIEU/TwoSampleMR documentation built on April 22, 2024, 8:42 p.m.
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| weighted_median_bootstrap | R Documentation |
Calculate standard errors for weighted median method using bootstrap
Description
Based on new script for weighted median confidence interval, update 31 July 2015.
Usage
weighted_median_bootstrap(b_exp, b_out, se_exp, se_out, weights, nboot)
Arguments
b_exp |
Vector of genetic effects on exposure. |
b_out |
Vector of genetic effects on outcome. |
se_exp |
Standard errors of genetic effects on exposure. |
se_out |
Standard errors of genetic effects on outcome. |
weights |
Weights to apply to each SNP. |
nboot |
Number of bootstrap replications. The default is |
Value
Empirical standard error
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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