compute_PQ_lhmm

Compute state-transition and state-action (emission) probability matrices
from LHMM parameters

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

compute_PQ_lhmm function

<dl><dt>theta</dt>
<dd>latent trait</dd>
<dt>para_a</dt>
<dd><code>K</code> by <code>K-1</code> matrix. discrimination parameters of state transition probability matrix</dd>
<dt>para_b</dt>
<dd><code>K</code> by <code>K-1</code> matrix. location parameters of state transition probability matrix</dd>
<dt>para_alpha</dt>
<dd><code>K</code> by <code>N-1</code> matrix. discrimination parameters of state-action (emission) probability matrix</dd>
<dt>para_beta</dt>
<dd><code>K</code> by <code>N-1</code> matrix. location parameters of state-action (emission) probability matrix</dd></dl>

Arguments

Compute LHMM probabilities from parameters — compute_PQ_lhmm

<dl>

<dt>theta</dt>
<dd>latent trait</dd>


<dt>para_a</dt>
<dd><code>K</code> by <code>K-1</code> matrix. discrimination parameters of state transition probability matrix</dd>


<dt>para_b</dt>
<dd><code>K</code> by <code>K-1</code> matrix. location parameters of state transition probability matrix</dd>


<dt>para_alpha</dt>
<dd><code>K</code> by <code>N-1</code> matrix. discrimination parameters of state-action (emission) probability matrix</dd>


<dt>para_beta</dt>
<dd><code>K</code> by <code>N-1</code> matrix. location parameters of state-action (emission) probability matrix</dd>

</dl>

`P`	`K` by `K` state-transition probability matrix

`Q`	`K` by `N` state-action probability matrix

compute_PQ_lhmm: Compute LHMM probabilities from parameters

Description

Usage

Value

Arguments

See Also

Examples