invcov_mvmr

Generate the list of inverse of covariance matrices used in <code>MVMR-cML-DP</code>

Encodes several methods for performing Mendelian randomization
analyses with summarized data. Summarized data on genetic associations with the
exposure and with the outcome can be obtained from large consortia. These data
can be used for obtaining causal estimates using instrumental variable methods.

Stephen Burgess

MendelianRandomization

Mendelian Randomization Package

Olena Yavorska

James Staley

Fernando Hartwig

Jim Broadbent

Christopher Foley

Andrew Grant

Amy Mason

Ting Ye

Haoran Xue

Zhaotong Lin

Siqi Xu

Ashish Patel

Hyunseung Kang

Sheng Wang

Ville Karhunen

invcov_mvmr function

<dl><dt>se_bx</dt>
<dd>A m*L matrix of standard errors of SNP-exposure association</dd>
<dt>se_by</dt>
<dd>A vector of standard errors of SNP-outcome association</dd>
<dt>rho_mat</dt>
<dd>The correlation matrix among the L exposures and the outcome</dd></dl>

Arguments

Generate the list of inverse of covariance matrices used in MVMR-cML-DP — invcov_mvmr

<dl>

<dt>se_bx</dt>
<dd>A m*L matrix of standard errors of SNP-exposure association</dd>


<dt>se_by</dt>
<dd>A vector of standard errors of SNP-outcome association</dd>


<dt>rho_mat</dt>
<dd>The correlation matrix among the L exposures and the outcome</dd>

</dl>

Generate the list of inverse of covariance matrices used in <code>MVMR-cML-DP</code>

invcov_mvmr: Generate the list of inverse of covariance matrices used in `MVMR-cML-DP`

Description

Usage

Value

Arguments