Extract an edge list from a TNA model, representing the network as a data frame of from-to-weight tuples.
Arguments
- model
A
netobject, TNA model object,mcmlobject, or a matrix of weights.- threshold
Numeric. Minimum weight to include an edge. Default: 0.
- include_self
Logical. Whether to include self-loops. Default: FALSE.
- sort_by
Character. Column to sort by: "weight" (descending), "from", "to", or NULL for no sorting. Default: "weight".
Value
For a single network: a data frame with one row per retained edge and columns:
- from
Source state name.
- to
Target state name.
- weight
Edge weight (transition probability).
For an mcml object: a named list of such data frames, with
macro first and then one element per cluster.
Details
This function converts the transition matrix into an edge list format, which is useful for visualization, analysis with igraph, or export to other network tools.
See also
extract_transition_matrix for the full matrix,
build_network for network estimation.
Examples
seqs <- data.frame(V1 = c("A","B","A"), V2 = c("B","A","C"), V3 = c("A","C","B"))
net <- build_network(seqs, method = "relative")
edges <- extract_edges(net, threshold = 0.05)
head(edges)
#> from to weight
#> 1 B A 1.0000000
#> 2 C B 1.0000000
#> 3 A C 0.6666667
#> 4 A B 0.3333333