Regularized Mediation Analysis
Helper function to check x, y, mediator for input to mvregmed function...
For an object of class mvregmed, create edges for a graph object that ...
Multivariate regularized mediation model
Setup attributes of graph object for plotting
Choose best fit model from a grid search based on minimum Bayesian Inf...
Helper function to summarize fits of models across a grid of lambda va...
Fit a grid of mvregmed models over a vector of lambda penalty paramete...
Helper function to update parameters in a grid search
Helper function to setup data and parameters for input to mvregmed.fit...
Set up data to input to lavaan sem
Setup a model for input to lavaan
Plot penalty parameter lambda versus BIC for model fits
Plots for regmed.grid object.
tools:::Rd_package_title("regmed")
For an object of class regmed, create edges for a graph object that ca...
Regularized Mediation model for a specified lambda penalty value.
Find best fitting regmed model from regmed.grid object.
Regularized mediation models over a vector grid of lambda penalty valu...
Set up data to input to lavaan sem
Create a lavaan model
Prefilter to reduce the number of mediators for subsequent analyses
Summary of mvregmed object
Mediation analysis for multiple mediators by penalized structural equation models with different types of penalties depending on whether there are multiple mediators and only one exposure and one outcome variable (using sparse group lasso) or multiple exposures, multiple mediators, and multiple outcome variables (using lasso, L1, penalties).