r.weights

Internal function for calculating penalized weights in conjunction with <code>penalised.weights</code>.
These weights are used in either the <code>mr_ivw</code> or <code>mr_egger</code> functions when <code>penalized = TRUE</code>.

internal

Encodes several methods for performing Mendelian randomization analyses with summarized data. Similar to the 'MendelianRandomization' package, but with fewer bells and whistles, and less frequent updates. As described in Yavorska (2017) <doi:10.1093/ije/dyx034> and Broadbent (2020) <doi:10.12688/wellcomeopenres.16374.2>.

Stephen Burgess

MRZero

Diet Mendelian Randomization

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

r.weights function

<dl><dt>.Byse</dt>
<dd>Standard error of genetic association with the outcome.</dd>
<dt>.pen.weights</dt>
<dd>Factors for penalizing weights.</dd></dl>

Arguments

Calculates p-values for penalization of weights — r.weights

<dl>

<dt>.Byse</dt>
<dd>Standard error of genetic association with the outcome.</dd>


<dt>.pen.weights</dt>
<dd>Factors for penalizing weights.</dd>

</dl>

Calculates p-values for penalization of weights

r.weights: Calculates p-values for penalization of weights

Description

Usage

Value

Arguments

Details

Examples