MVMRcML-class function

MVMRcML Class

MVMRcML Class

An object containing the results of MVMRcML. class

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.
  • Maintainer: Stephen Burgess
  • License: GPL-2 | GPL-3
  • Last published: 2024-04-12

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