Build a Frequency Transition Network (FTNA)

Convenience wrapper for build_network(method = "frequency"). Computes raw transition counts from sequence data.

Usage

build_ftna(data, start = FALSE, end = FALSE, ...)

data: Data frame (sequences or per-observation frequencies) or a square symmetric matrix (correlation or covariance).
start: Boundary marker prepended to every sequence as an explicit start state (a pure source: no incoming edges, every sequence's first transition is start -> first_observed). FALSE (default) adds nothing; TRUE uses the label "Start"; a single string uses that string as the label. Only valid for the transition methods (relative, frequency, co_occurrence, attention); errors otherwise.
end: Boundary marker placed in the single cell after each sequence's last observed (non-NA) state, as an explicit terminal state (a pure sink: no outgoing edges, no self-loop – distinct from mark_terminal_state, which fills all trailing NAs into an absorbing state). FALSE (default) adds nothing; TRUE uses the label "End"; a single string uses that string as the label. Same method restriction as start.
...: Additional arguments passed to build_network.

A netobject (see build_network).

seqs <- data.frame(V1 = c("A","B","C"), V2 = c("B","C","A"))
net <- build_ftna(seqs)