Model Selection with FDR Control of Selected Variables
Run first step of model fitting to find good penalization interval
Convenience wrapper for explore for adjacency matrices
Plot rope results
FDR controlled model selection
Convenience wrapper for rope for adjacency matrices
Take upper half of matrix and convert it to a vector
Convert vector that represents half of a symmetric matrix into a matri...
Selects one model with variable selection FDR controlled at a specified level. A q-value for each potential variable is also returned. The input, variable selection counts over many bootstraps for several levels of penalization, is modeled as coming from a beta-binomial mixture distribution.