compare_sequence_hmms: Compare fitted sequence HMMs descriptively

In gp3sequences: Transparent Analysis of Ordered Categorical Sequences

Compare fitted sequence HMMs descriptively

Description

Compare fitted sequence HMMs descriptively

Usage

compare_sequence_hmms(...)

Arguments

...	Fitted HMM or mixture-HMM objects.

Value

A data frame containing log likelihood, AIC, BIC, parameter count, convergence status, and delta criteria. Criteria are descriptive and do not automatically select a substantive model.

Examples

sequences <- data.frame(
  sequence_id = rep(c("s1", "s2", "s3", "s4"), each = 4L),
  sequence_order = rep(1:4, times = 4L),
  state = c("A", "B", "C", "D", "A", "B", "C", "C",
            "D", "C", "B", "A", "D", "C", "A", "A"),
  group = rep(c("g1", "g2"), each = 8L),
  stringsAsFactors = FALSE
)
model_1 <- fit_sequence_hmm(sequences, 1L, max_iter = 5L)
model_2 <- fit_sequence_hmm(sequences, 2L, max_iter = 5L)
compare_sequence_hmms(one = model_1, two = model_2)

gp3sequences documentation built on Aug. 23, 2026, 5:10 p.m.