MVMRcML-class: MVMRcML Class
In MendelianRandomization: Mendelian Randomization Package
MVMRcML-class R Documentation
MVMRcML Class
Description
An object containing the results of MVMRcML.
Slots
ExposureThe names of the exposure variables.
OutcomeThe name of the outcome variable.
EstimateThe causal estimates from the multivariable MRcML method.
StdErrorThe standard errors associated with Estimate.
CILowerThe lower bounds of the confidence intervals for Estimate based on StdError.
CIUpperThe upper bounds of the confidence intervals for Estimate based on StdError.
AlphaThe significance level used in constructing the confidence interval (default is 0.05).
PvalueP-values associated with the causal estimates from the multivariable MRcML method.
BIC_invalidThe index set of selected invalid IVs by MVMRcML-BIC.
K_hatThe number of selected invalid IVs by MVMRcML-BIC, or a vector for each data perturbation in MVMRcML-DP.
eff_DP_BThe number of data perturbations with successful convergence in MVMRcML-DP.
SNPsThe number of SNPs that were used in the calculation.
DPIndicator of whether data perturbation is applied.
MendelianRandomization documentation built on Aug. 9, 2023, 1:05 a.m.
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| MVMRcML-class | R Documentation |
MVMRcML Class
Description
An object containing the results of MVMRcML.
Slots
ExposureThe names of the exposure variables.
OutcomeThe name of the outcome variable.
EstimateThe causal estimates from the multivariable MRcML method.
StdErrorThe standard errors associated with
Estimate.CILowerThe lower bounds of the confidence intervals for
Estimatebased onStdError.CIUpperThe upper bounds of the confidence intervals for
Estimatebased onStdError.AlphaThe significance level used in constructing the confidence interval (default is 0.05).
PvalueP-values associated with the causal estimates from the multivariable MRcML method.
BIC_invalidThe index set of selected invalid IVs by MVMRcML-BIC.
K_hatThe number of selected invalid IVs by MVMRcML-BIC, or a vector for each data perturbation in MVMRcML-DP.
eff_DP_BThe number of data perturbations with successful convergence in MVMRcML-DP.
SNPsThe number of SNPs that were used in the calculation.
DPIndicator of whether data perturbation is applied.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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