MRLasso-class: MRLasso class
In MendelianRandomization: Mendelian Randomization Package

MRLasso-class

R Documentation

MRLasso class

An object containing the estimates produced using the MR-Lasso method as well as various statistics.

Exposure: The names of the exposure variables.
Outcome: The name of the outcome variable.
Estimate: The causal estimate from the MR-Lasso method.
StdError: The standard error 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-value associated with the causal estimate from the MR-Lasso method.
SNPs: The number of SNPs used in the calculation.
RegEstimate: The estimate from the regularized regression model used in the MR-Lasso method.
RegIntercept: The intercept estimates from the regularized regression model used in the MR-Lasso method. An intercept estimate of zero identifies the corresponding genetic variant as a valid instrument. Genetic variants with non-zero intercept estimates will be excluded from the post-lasso estimator.
Valid: The number of genetic variants that have been identified as valid instruments.
ValidSNPs: The names of genetic variants that have been identified as valid instruments.
Lambda: The value of the tuning parameter used to compute RegEstimate (default is to calulate Lambda using the heterogeneity stopping rule).