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Decode latent states from a multichannel HMM

Source: R/sequence-multichannel-hmm.R
decode_multichannel_sequence_states.Rd

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()`.