decode_multichannel_sequence_states: Decode latent states from a multichannel HMM

In gp3sequences: Transparent Analysis of Ordered Categorical Sequences

Decode latent states from a multichannel HMM

Description

Decode latent states from a multichannel HMM

Usage

decode_multichannel_sequence_states(
  model,
  data = NULL,
  sequence_id_col = "sequence_id",
  order_col = "sequence_order",
  channel_cols = NULL,
  method = c("viterbi", "posterior")
)

Arguments

model	A fitted multichannel HMM.
data	Optional new long-format multichannel data.
sequence_id_col, order_col	Core sequence columns for new data.
channel_cols	Channel columns for new data; defaults to training names.
method	"viterbi" or "posterior".

Value

A long data frame of decoded states and posterior probabilities.

Examples

# See `fit_multichannel_sequence_hmm()`.

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