Use cluster_summary instead. This function is provided for
backward compatibility only.
Usage
mcml(
x,
cluster_list = NULL,
aggregation = c("sum", "mean", "max"),
as_tna = FALSE,
nodes = NULL,
within = TRUE
)Arguments
- x
Weight matrix, tna object, cograph_network, or cluster_summary object
- cluster_list
Named list of node vectors per cluster
- aggregation
How to aggregate edge weights: "sum", "mean", "max"
- as_tna
Logical. If TRUE, return a tna-compatible object
- nodes
Node metadata
- within
Logical. Compute within-cluster matrices
