summary.net_mmm: Summary Method for net_mmm

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Summary Method for net_mmm

Description

Summary Method for net_mmm

Usage

## S3 method for class 'net_mmm'
summary(object, ...)

Arguments

object	A net_mmm object.
...	Unsupported. Supplying unused arguments raises an error.

Value

A per-component summary data.frame. The class and visibility depend on whether the model was fitted with covariates:

No covariates

A plain data.frame with one row per component and columns component, prior, n_assigned, mean_posterior, avepp, returned visibly (so it auto-prints after the printed summary block).

With covariates

A tidy_covariates/data.frame (the tidied covariate table, with the per-component stats attached), returned invisibly.

In both cases the printed summary (model fit, per-cluster transition matrices, optional covariate profiles) is emitted as a side effect.

Examples

seqs <- data.frame(V1 = sample(c("A","B","C"), 30, TRUE),
                   V2 = sample(c("A","B","C"), 30, TRUE))
mmm <- build_mmm(seqs, k = 2, n_starts = 1, max_iter = 10, seed = 1)
summary(mmm)

set.seed(1)
seqs <- data.frame(
  V1 = sample(c("A","B","C"), 30, TRUE),
  V2 = sample(c("A","B","C"), 30, TRUE),
  V3 = sample(c("A","B","C"), 30, TRUE)
)
mmm <- build_mmm(seqs, k = 2, n_starts = 5, seed = 1)
summary(mmm)

Nestimate documentation built on July 11, 2026, 1:09 a.m.