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

View source: R/mr_ivw-methods.R

penalised.weightsR Documentation

Calculates p-values for penalization of weights

Description

Internal function for calculating penalized weights in conjunction with r.weights.

These weights are used in either the mr_ivw or mr_egger functions when penalized = TRUE, or in the mr_median function when method = "penalized".

Usage

penalised.weights(.Bx, .Bxse, .By, .Byse)

Arguments

.Bx

Beta-coefficient for genetic association with the risk factor.

.Bxse

Standard error of genetic association with the risk factor.

.By

Beta-coefficient for genetic association with the outcome.

.Byse

Standard error of genetic association with the outcome.

Details

None.

Value

P-values corresponding to heterogeneity test for each genetic variant in turn (based on a chi-squared-1 distribution).

Examples

penalised.weights(ldlc, ldlcse, chdlodds, chdloddsse)


MendelianRandomization documentation built on May 29, 2024, 11:36 a.m.