Estimates MRFs from bootstrapped subsamples of data to approximate penalized partial correlation distibutions
BootstrapEdgeDistn(x, L1, vertices = NULL, subset = NULL, B = 500,
n_b = 0.5, replace = T, seed = NULL, ...)dataset for estimating MRFs. Supplied as data.frame.
Regularization penalty for inducing sparsity in networks
Vertices to include in MRF. Must be a subset of names(x)
An expression to select a subset of records/rows
The number of subsamples to draw
The size of the subsamples. May be provided as an integer less than the number of rows in x, or as a proportion.
Logical. Is subsampling done with (T) or without (F) replacement.
Random seed value for reproducibility.
other arguments to be passed to Rnet().
A numeric matrix containing the estimated penalized partial correlations corresponding to the MRF edges (column) in each subsample (row).