MVMRcML-class: MVMRcML Class

MVMRcML-classR Documentation

MVMRcML Class

Description

An object containing the results of MVMRcML.

Slots

Exposure

The names of the exposure variables.

Outcome

The name of the outcome variable.

Estimate

The causal estimates from the multivariable MRcML method.

StdError

The standard errors associated with Estimate.

CILower

The lower bounds of the confidence intervals for Estimate based on StdError.

CIUpper

The upper bounds of the confidence intervals for Estimate based on StdError.

Alpha

The significance level used in constructing the confidence interval (default is 0.05).

Pvalue

P-values associated with the causal estimates from the multivariable MRcML method.

BIC_invalid

The index set of selected invalid IVs by MVMRcML-BIC.

K_hat

The number of selected invalid IVs by MVMRcML-BIC, or a vector for each data perturbation in MVMRcML-DP.

eff_DP_B

The number of data perturbations with successful convergence in MVMRcML-DP.

SNPs

The number of SNPs that were used in the calculation.

DP

Indicator of whether data perturbation is applied.


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