print.net_mmm: Print Method for net_mmm

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

Print Method for net_mmm

Description

Compact summary of a Mixed Markov Model fit. Header carries dimensions and information criteria; cluster table carries N, mixing share, and per-cluster average posterior probability (AvePP). Layout matches print.net_clustering so distance- and model-based clusterings can be compared at a glance.

Usage

## S3 method for class 'net_mmm'
print(x, digits = 3L, ...)

Arguments

x	A net_mmm object.
digits	Integer. Decimal places for floating-point statistics. Default 3. Non-breaking: print(x) keeps the same alignment as before.
...	Unsupported. Supplying unused arguments raises an error.

Value

The input object, invisibly.

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)
print(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)
print(mmm)

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