nc_estimate_network: Create an estimate of the metabolic network as an undirected...

In ClemensWittenbecher/NetCoupler: Inference of Causal Links Between a Network and an External Variable

Create an estimate of the metabolic network as an undirected graph.

Description

The main NetCoupler network creator. Uses the input data to estimate the underlying undirected graph. The default uses the PC algorithm, implemented within NetCoupler with pc_estimate_undirected_graph() Defaults to using the PC algorithm to calculate possible edges. Any missing values in the input data are removed by this function, since some computations can't handle missingness.

Usage

nc_estimate_network(data, cols = everything(), alpha = 0.01)

Arguments

data	Data that would form the underlying network.
cols	<tidy-select> Variables to include by using dplyr::select() style selection.
alpha	The alpha level to use to test whether an edge exists or not. Default is 0.01.

Value

Outputs a tidygraph::tbl_graph() with the start and end nodes, as well as the edge weights.

See Also

See nc_estimate_links for examples on using NetCoupler and pc_estimate_undirected_graph for more details on the PC-algorithm network estimation method.

ClemensWittenbecher/NetCoupler documentation built on June 14, 2025, 11:09 a.m.