ropegraph: Convenience wrapper for 'rope' for adjacency matrices

In rope: Model Selection with FDR Control of Selected Variables

Description

When modeling graphs it may be more convenient to store data as matrices instead of row vectors.

Usage

ropegraph(data, B, ...)

Arguments

data	List of symmetric matrices, one matrix for each penalization level
B	Number of bootstraps used to construct data. At least 21 are needed for u-shape test heuristic to work, but in general it is recommended to use many more.
...	Additional arguments are passed on to rope.

Value

A list with components

selection	list of symmetric matrices, one matrix for each fdr target
q	symmetric matrix of q-values
level	index of most separating parameter value
alt.prop	estimated proportion of alternative variables

Examples

## Not run: 
data # a list of symmetric matrices, one matrix for each penalization level,
  # each matrix containing selection counts for each edge over 100 bootstraps
fdr <- c(0.05, 0.1)
result <- rope(data, 100, fdr)

## End(Not run)

rope documentation built on May 2, 2019, 12:36 p.m.