mr_two_sample_ml: Maximum likelihood MR method
In MRCIEU/TwoSampleMR: Two Sample MR Functions and Interface to MR Base Database
mr_two_sample_ml R Documentation
Maximum likelihood MR method
Description
Maximum likelihood MR method
Usage
mr_two_sample_ml(b_exp, b_out, se_exp, se_out, parameters)
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.
parameters
List of parameters.
Value
List with the following elements:
- b
causal effect estimate
- se
standard error
- pval
p-value
- Q, Q_df, Q_pval
Heterogeneity stats
MRCIEU/TwoSampleMR documentation built on March 26, 2024, 6:11 a.m.
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| mr_two_sample_ml | R Documentation |
Maximum likelihood MR method
Description
Maximum likelihood MR method
Usage
mr_two_sample_ml(b_exp, b_out, se_exp, se_out, parameters)
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. |
parameters |
List of parameters. |
Value
List with the following elements:
- b
causal effect estimate
- se
standard error
- pval
p-value
- Q, Q_df, Q_pval
Heterogeneity stats
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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