find_state_seq

Find the most likely hidden state sequence of an observed sequence under HMM

Provides functions for simulating from and fitting the latent hidden
Markov models for response process data (Tang, 2024) <doi:10.1007/s11336-023-09938-1>.
It also includes functions for simulating from and fitting ordinary hidden Markov models.

Xueying Tang

proclhmm

Latent Hidden Markov Models for Response Process Data

find_state_seq function

<dl><dt>seq</dt>
<dd>An action sequence coded in integers</dd>
<dt>P1</dt>
<dd>initial state probability vector of length <code>K</code></dd>
<dt>P</dt>
<dd><code>K</code> by <code>K</code> state transition probability matrix</dd>
<dt>Q</dt>
<dd><code>K</code> by <code>N</code> state-action (emission) probability matrix</dd></dl>

Arguments

Viterbi algorithm for HMM — find_state_seq

<dl>

<dt>seq</dt>
<dd>An action sequence coded in integers</dd>


<dt>P1</dt>
<dd>initial state probability vector of length <code>K</code></dd>


<dt>P</dt>
<dd><code>K</code> by <code>K</code> state transition probability matrix</dd>


<dt>Q</dt>
<dd><code>K</code> by <code>N</code> state-action (emission) probability matrix</dd>

</dl>

find_state_seq: Viterbi algorithm for HMM

Description

Usage

Value

Arguments