MRcML-class: MRcML Class

In MendelianRandomization: Mendelian Randomization Package

MRcML Class

Description

An object containing the results of MRcML.

Slots

Exposure

The names of the exposure variables.

Outcome

The name of the outcome variable.

Estimate

Estimate of theta.

StdError

Standard error of estimate.

Pvalue

p-value of estimate.

BIC_invalid

Set of selected invalid IVs if cML-BIC is performed, i.e. without MA or DP.

GOF1_p

p-value of the first goodness-of-fit test.

GOF2_p

p-value of the second goodness-of-fit test.

SNPs

The number of SNPs that were used in the calculation.

Alpha

Significance level for the confidence interval for estimate, default is 0.05.

CILower

Lower bound of the confidence interval for estimate.

CIUpper

Upper bound of the confidence interval for estimate.

MA

Indicator of whether model average is applied.

DP

Indicator of whether data perturbation is applied.

MendelianRandomization documentation built on Aug. 9, 2023, 1:05 a.m.