mv_norm

Sampling from multivariate normal distribution

internal

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

mv_norm function

<dl><dt>n</dt>
<dd>Number of draws.</dd>
<dt>mu</dt>
<dd>Mean vector.</dd>
<dt>Sigma</dt>
<dd>Covariance matrix.</dd></dl>

Arguments

Sampling from multivariate normal distribution — mv_norm

<dl>

<dt>n</dt>
<dd>Number of draws.</dd>


<dt>mu</dt>
<dd>Mean vector.</dd>


<dt>Sigma</dt>
<dd>Covariance matrix.</dd>

</dl>

Sampling from multivariate normal distribution

mv_norm: Sampling from multivariate normal distribution

Description

Usage

Value

Arguments

Details

Examples