fit_tna_batch: Fit TNA models to multiple datasets

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Fit TNA models to multiple datasets

Description

Fit TNA models to multiple datasets

Usage

fit_tna_batch(inputs, ...)

Arguments

inputs	List of sequence data frames, with at least one element. Element names label the datasets; when inputs is unnamed the labels "Dataset 1", "Dataset 2", ... are used instead.
...	Arguments passed to fit_tna().

Value

A simulab_sim edge list with one row per dataset and transition: a leading dataset column followed by the columns fit_tna() returns (from, to, weight, and group when a grouped fit is requested). The model_info component holds one row per dataset describing the fitted model.

Examples

inputs <- list(
  first = simulate_sequences(n = 30, n_states = 3, chain_length = 10, seed = 1),
  second = simulate_sequences(n = 30, n_states = 3, chain_length = 10, seed = 2)
)
if (requireNamespace("tna", quietly = TRUE)) {
  head(fit_tna_batch(inputs, model = "tna"))
}

simulab documentation built on Oct. 15, 2026, 5:08 p.m.